Location: Poland
Christmas Time in Poland Through the Lens of Gender Equality
In the Christmas season, we examine how people in Poland allocate their precious minutes in the days before and during the holidays. We use data from the Polish Time Use Survey and show that, in several aspects of time use, Christmas is indeed special, and that there are notable differences in how men and women allocate their time to work and pleasure. Women spend more time than men on household chores and preparing meals, and in the latter case the imbalance is particularly striking: on average women spend two hours more per day cooking ahead of the holidays.
Introduction
Every year, billions of people around the world spend the end of December enjoying time with friends and family. Many celebrate Christmas on the 25th and 26th, while others bid farewell to 2024 and welcome a new year. Celebrations and fun are often preceded or combined with intensive preparations—cooking, cleaning, shopping, and travel. Time is of the essence, and as with other major celebrations, the 2024 Christmas season is likely to feel too short, intensive, and possibly stressful.
In this policy brief we look at how people in Poland allocate their precious minutes during these special days. Every ten years the Polish Central Statistical Office collects detailed data on time use, interviewing over 35 000 individuals, most of whom fill in diaries of their time allocation over two different days. This results in over 70 000 diaries with information divided into 144 ten-minute intervals. We use the latest available survey wave from 2013 in which we have information from 72 967 correctly completed diaries, on average almost two hundred diaries per day (the 2023 data is not yet available for research purposes). Particularly interesting is that the data collection in 2013 was carried out in the days running up to Christmas and continued through the 2013 holiday season. This gives us a unique chance to examine the allocation of time over this period, and specifically compare how men and women spend their time in preparation for celebrations, and during the holidays. We compare Christmas time allocation to diaries filled in on weekdays and Sundays in November to show, on the one hand, that the way people in Poland spend their holidays differ in several ways from a regular Sunday, and that allocation of time is particularly unique in the days running up to Christmas. This relates both to how much time is spent on getting ready – preparing meals, cleaning the house, etc., as well as to how these chores are allocated between men and women.
Time Use Diaries in Poland
Polish time use data is unique in its scope and content. During the year of data collection over 35 000 participants complete detailed time use diaries on two days – one weekday and one weekend day. Every ten-minute slot is assigned a category for the ‘main activity,’ with the option to record a ‘secondary activity’ for multitasking. The 163 detailed categories range from broad types like “sleeping” or “time devoted to main job” to specific activities such as “repairing household equipment” or “handcrafts”. The large number of diaries and narrow activity focus enables unique analyses of time use and allows studying specific days (for an example, see Adena et al., 2023).
In 2013 the diaries cover 355 days and on these ‘active’ days the number of completed diaries varied from 116 (on 6th November) to 562 (6th January). The diaries were completed also on the 24th and 23rd of December respectively, (239 diaries) and on both days of Christmas (25th and 26th of December, 250 diaries). These special four days – which happened to start on a Monday – are compared to four November weekdays, the consequent days starting on Monday the 25th of November (549 diaries), and two November Sundays (17th and 24th of November, 737 diaries).
Is Christmas Time Different?
The 163 different categories of time use are aggregated into 10 groups: (1) preparing meals, (2) household work and cleaning, (3) meals, meetings and celebrations, (4) church and prayer, (5) watching TV, using computer, (6) walks, games and hobbies, (7) shopping, (8) work and study, (9) personal care, (10) sleeping.
These broad categories include activities which are similar and/or related to the broad headings. For example, ‘household work and cleaning’ includes vehicle maintenance or cleaning the basement, while ‘meals, meetings and celebrations’ include also ‘phone calls with family and friends’ or ‘reading, playing and talking with children’. The broad activity categories were identified by examining the most common activities given the time allocated by respondents to the listed activities in November and December. Other less common activities were then added to those main categories. The average number of minutes allocated to the ten categories in the weekdays and Sundays of November, the two days before Christmas, and the Christmas holidays is presented in Table 1.
Table 1. Time Allocation: average number of minutes per day allocated to ten aggregate activity categories
As evident there are interesting differences in the pattern of time allocation between the four groups of days which seem to be a result of discernible differences in behaviour. On ‘usual weekdays’ in late November respondents spend on average about 70 minutes on meal preparations and almost 90 minutes on housework. This increases significantly on the 23rd and 24th of December, respectively, to nearly three hours (169 minutes) and over two hours (125 minutes). As expected this then drops substantially over the two days of Christmas. In terms of housework and cooking, Christmas days differ slightly from a typical Sunday. However, even on these days, cooking and household tasks do not come to a complete halt: there is still work to be done! It is clear, though, that the brunt of the preparation is conducted in the days leading up to Christmas. It should be noted also that in Polish tradition the main Christmas celebration usually takes place in the evening of the 24th, although preparations often run all the way up to that evening meal. We can observe for example that the average working time on 23rd-24th December is much lower compared to late November and the time spent on attending mass or prayer is already significantly higher. The preparations on those two days seem to ‘eat in’ to the amount of sleep and time spent in front of the TV. We see more time devoted to meals and celebrations compared to normal weekdays in November, although the values listed are averages over the two days including the 23rd.
The average allocation of time on the two days of Christmas stands out in a few categories. In particular more time is allocated to pleasure: ‘walks, games and hobbies’ take up 171 minutes per day on average over the Christmas holidays, which is over an hour more compared to a normal Sunday. Watching TV is another favourite Christmas pass-time (191 minutes), although people seem to watch slightly less TV on Christmas compared to November Sundays. While meals and celebrations take up more than four hours per day on average, this is only slightly longer than on a normal Sunday (263 vs 247 minutes), and Christmas sleeping patterns are also very similar compared to Sundays – with little catching up on sleep lost in the lead-up to the holidays.
Work and Pleasure over Christmas – Gender Differences in Time Allocation
In Figure 1 we present the average allocation of time in Poland in the run up to Christmas and over the two holidays separately for men and women. The figure depicts the ten aggregated categories, and for each set of days the outer ring represents the average time allocation among women, while the inner ring shows the average time allocation among men. We see some striking differences. Women spend almost 3.5 hours on average on cooking on each of the two days before Christmas, which is nearly 1.5 hours more compared to men. The difference in household work is not as striking, and men tend to spend more time on pre-Christmas shopping (35 vs 26 minutes per day on average). Men also spend more time at work during these two days (189 vs 110 minutes), although much of the time which is not spent on cooking seems to go to leisure: on average men watch more TV and spend more time eating and socializing.
Work and leisure are also unequally divided between men and women on the two days of Christmas. Women spend more than 2 hours per day on average on cooking and cleaning, while men spend only about 50 minutes per day. Over Christmas men spend more time in front of the TV, but they also devote more time to paid work, with an average of about 100 minutes per day. Celebrations and meals over the Christmas season naturally take up much of the time, and in this case the disproportions are not as large, though both in the run up and during Christmas men tend to spend slightly more time ‘at the table’ than women. The difference is more pronounced for the days running up to Christmas (23-24th December) which is noteworthy, given that the evening on the 24th is traditionally the main family celebration time in Poland.
Figure 1. Christmas time allocation among women (outer rings) and men (inner rings)
Is Christmas Time Special? The Gender Perspective
In this section we examine the data in a more formal way by adjusting the patterns of time use of men and women for differences in age, education and household size. We focus on six out of the ten categories distinguished above and regress time (in minutes) within these categories separately for the four sets of days detailed in Table 1: weekdays in November (25th-28th), Sundays in November (17th and 24th), as well as for 23rd-24th December and 25-26th December. The estimates of the coefficient on the female indicator included in these regressions reflect how much more or how much less time women spend on a specific activity category compared to men, conditional on the controls.
Figure 2. Women vs men: differences in time allocation in November and over Christmas
In Figure 2 we present the results for the six time-use categories, in each case showing the estimated coefficient on the female indicator for the four sets of days. Since the samples are quite small (see Table 1), the standard errors of the estimates are relatively large. However, they still allow us to infer interesting patters of time use differences between men and women. The most visible difference concerns the time allocated to preparing meals in the run up to Christmas. While women spend more time preparing meals in all four-day categories, the days just before Christmas are clearly special (Figure 2a). On average on the 23rd-24th of December, women spend almost two hours longer on this activity per day compared to men, while on a ‘normal’ Sunday or weekdays this difference is ‘only’ 51 and 61 minutes, respectively. Interestingly, women continue spending more time than men on meals preparation also over the holidays, although the extra minutes in this case resemble a usual Sunday. The latter similarity seems to be repeated in the estimates related to ‘household work and cleaning’ (Figure 2b) – women once again spend more time doing chores: 18 minutes more than men on a normal Sunday and 21 minutes more over Christmas. In this category we do not see any statistically significant imbalances during the days leading up to Christmas (the point estimate however suggests that also on those days women ’out-perform’ men by about 15 minutes per day). On the other hand, while (except for November Sundays) the differences are not statistically significant, women seem to spend more time on ‘walks, games and hobbies’ compared to men and the difference is highest over the Christmas holidays (35 minutes per day, see Figure 2c). Since the day is 24 hour long for everyone, we should see some differences going the other direction – activities where women spend less time compared to men. Once again we see some striking patterns in the days running up to Christmas with women spending much less time compared to men on ‘meals, meetings and celebrations’ (60 minutes, see Figure 2d) as well as on ‘work and study’ (80 minutes, see Figure 2f).
With all the work that seems to be going into preparing meals and other housework, it is perhaps good to see that at least on the 25th and 26th of December women spend as much time as men on Christmas celebrations (Figure 2d). It should be noted though that men get some additional ‘passive’ rest in front of the TV on those days (Figure 2e). Differences in TV watching patterns over Christmas are similar to those observed on ‘normal’ Sundays and the days just before the holidays – men watch TV by an average of 57 and 41 minutes/day more than women. Differences between men and women in the time spent on ‘work and study’ just before Christmas are not very different compared to ‘normal’ weekdays when men on average work nearly 100 minutes per day more compared to women. For this category Christmas days seem different from a ‘normal’ Sunday: women tend to work less during the holidays compared to men (by about 46 minutes/day), but we see virtually no difference in labor market activities on a normal Sunday.
Conclusion
If patterns of time-use have not changed much over the past ten years, Poles will spend almost four and a half hours per day on average enjoying meals and celebrations during the coming Christmas. They will add to this, on average, slightly more than three hours in front of the TV and about the same time enjoying walks, games and hobbies. The holiday will be preceded by intense preparations – in particular regarding preparing meals (170 minutes per day on the 23rd and 24th of December) and household work and cleaning (125 minutes per day). As we show in this brief, in 2013, the time burden of holiday preparations and household chores related to Christmas, was certainly not shared equally between men and women. Women spent much more time on those activities, especially in the days running up to Christmas, but also on the 25th and 26th of December.
With the upcoming release of the 2023 Polish time use data we will be able to examine whether patterns of Christmas time use have changed over the last decade. However, how our precious time over this year’s holiday season will be allocated is entirely up to us.
Merry Christmas!
Acknowledgment
Data used for the analysis in this brief come from the 2013 Polish Time Use Survey provided by the Polish Central Statistical Office (GUS). GUS bears no responsibility for the presented results and interpretation. I am very grateful to Daniel Hamermesh for his suggestions and comments.
References
- Adena, M., Hamermesh, D., Myck, M., Oczkowska, M. (2023) Home alone: Widows’ well-being and time, Journal of Happiness Studies, 24, 813–838. doi: 10.1007/s10902-023-00622-w.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
“Active Parent”: Addressing Labor Market Disadvantages of Mothers in Poland
In 2023 only one out of four children aged 0-3 years was covered by the Polish system of formal childcare. Traditional social norms with regard to provision of childcare at home, together with high costs of existing formal and informal childcare arrangements constitute important constraints with regard to labor market participation among mothers with the youngest children. While labor market activity rate among women aged 25-49 years stands at 84 percent overall, it is more than 20 percentage points lower for mothers with children aged 1-3 years. In this policy brief we provide an overview and an evaluation of “Active parent”, a recently introduced policy aimed at supporting earlier return to work after birth among mothers in Poland. We argue that the success of the program will be strongly determined by the extent to which it manages to stimulate growth of high-quality formal childcare for those aged 0-3 in the next few years.
Gender Gaps in Employment and Childcare in Poland
The average labor market activity rate among women aged 25-49 in Poland stands at 84 percent, which is slightly above the EU average (by 2 p.p.; see Figure 1). The rate, however, differs substantially by age group, and even more by the number and age of children. For childless women just below 30 years, the activity rate almost exactly matches the rate for men (88 percent vs 90 percent). However, among women with children, and especially among those with the youngest child being between 1 and 3 years old, this number drops to 62 percent. For fathers with such children, the activity rate however stands at 98 percent. Women gradually return to work when the youngest child is growing up – 3 out of 4 of those with a child aged 4 to 6 years are active in the labor market, and this share grows to 84 percent for mothers of teenagers (aged 13-14 years). At the same time women in Poland are much less likely to work part-time than women in the EU on average (7 vs. 28 percent, respectively; Eurostat, 2021). Rates of part-time employment are higher if women have more and younger children, though not by much (11 percent for mothers of 3+ children, 10 percent when a child is up to 3 years old; PEI, 2022).
While in most Polish households with children both parents are working for pay, traditional gender norms still largely prevail with respect to providing childcare or handling household duties. According to a survey conducted by the Polish Economic Institute (PEI), in only 18 percent of double-earner families do both parents take care of a child to the same extent (Polish Economic Institute 2022). For 68 percent of such families, it is the mother who provides most care. In only 1 in 10 families the father is the main care provider.
Figure 1. Labor market activity rates in Poland in 2022
Traditional attitudes towards childcare responsibility are clearly visible in the actual gender split of parental leave in Poland. Despite the introduction of a non-transferable 9-week long parental leave dedicated to fathers (out of the total of 41 weeks of parental leave) on top of a two-week paternity leave, the division of care duties for the youngest children has essentially remained unaffected. While 377 000 mothers claimed parental leave benefits in 2021, only 4 000 fathers decided to stay at home with their child (Social Insurance Institute, 2021). Besides, many fathers still do not exercise their right to the fortnight of the paternity leave. According to the PEI survey conducted among parents of children aged 1-9 years, 41 percent of fathers reported virtually no work gap after the birth of their child and further 43 percent acknowledged only a short break from work (up to 14 days). On the other hand, 85 percent of mothers took a work break after childbirth of more than 8 months. For 40 percent it lasted between 12-18 months and for 28 percent the separation from work exceeded one and a half years.
Evaluating the Consequences of the “Active Parent” Program
To address the resulting disadvantages for mothers on the labor market the current Polish government introduced a program called “Active parent” in October 2024. The program is targeted at parents of children aged 12 to 35 months and consists of 3 options. The highest benefits in the program amounting to 350 EUR per month, are granted within the “Active at work” option to households in which parents are active on the labor market. For couples, the minimum work requirement is half-time work for each parent, while lone parents are required to work full-time. The same monthly amount can be granted if the child is enrolled in institutionalized childcare (“Active in nursery” option), though in this case the benefit does not exceed the cost of the nursery. This option covers both formal public or private nursery as well as semi-formal care provided in “kids clubs”. Finally, in case the child stays at home with a non-working parent (“Active at home” option), the family receives 115 EUR per month.
The main objective of the program is to increase the number of women returning to work after the period of maternity and parental leave (which in Poland cover the first 12 months of a newborn), before the child becomes eligible for kindergarten (where a place for each child aged 3 to 6 years is to be guaranteed by the local government). It is worth noting that after exhausting the parental leave, Polish parents are entitled to up to 3 years of childcare leave. Though this is unpaid, many parents, once again almost entirely mothers, opt for staying at home, often due to the lack of alternative forms of childcare. For children under the age of 3, formal childcare is highly limited. In 2023, nursery places were available only to one out of four children aged 0-3 years (CSO Poland). Additionally, these places are unevenly accessible throughout the country – in 2023 formal childcare for the youngest kids (public or private) did not exist in as many as 45 percent of Polish municipalities (CSO Poland). At the same time, while family help with childcare in Poland is still provided on a massive scale, it is limited only to those who have parents or other family members living close by, already in retirement and without other caring obligations (e.g. for older generations).
Within the new program parents who receive the “Active at work” benefit have complete discretion of how to use these funds. Many may choose to send the child to a formal childcare institution, but the lawmakers also expect a surge in undertaking formal contracts with grandparents or other relatives – including those already in retirement. There’s an additional benefit embedded in this particular solution, namely social security contributions resulting from contracts concluded with “a carer” (regardless of if it is a third person or a family member) which are covered by the state. These contributions are added to the carer’s pension funds and translate into higher retirement benefits – with regular recalculations of pension funds among those already retired and higher expected pension benefits for those still below retirement age.
A recent policy report (Myck, Krol and Oczkowska, 2024), evaluated the impact of the “Active parent” program using the microsimulation model SIMPL. The analysis (based on the Polish Household Budget Survey from 2021) focused on the estimation of the expected costs of the program to the public budget and the distribution of financial gains among households. We find that families eligible to receive support, i.e. those with children aged 12-35 months, are concentrated in the upper half of the income distribution (12.6 percent among the richest households and only 5.4 percent living in the poorest households). Thus, taking the observed work and childcare use patterns from the data we find that the average net gains related to the entire “Active parent” program are also concentrated among the richer households (see Figure 2).
Figure 2. Average net monthly gain from the “Active parent” program, assuming no change in parental behavior in reaction to the roll-out of the program
Households from the highest income decile group on average gain 220 EUR per month, while those from the poorest income group receive 170 EUR per month. In relative terms, these gains correspond on average to as much as 17 percent of their income, while for the former group the gains do not exceed 4 percent of their income. When disaggregating by the three options of the program, eligible households from the bottom part of the distribution receive much higher gains from the “Active in nursery” or “Active at home” options, as these households are much less likely to have both parents working.
Clearly, some parents may adjust their work and childcare choices in reaction to the introduction of the program, which, in fact, is one of its key objectives. If a family decides to take up work or send their child to a nursery, they become eligible for higher support. Rather than receiving 115 EUR from the “Active at home” option, they become eligible for up to 350 EUR under the other alternative options. In almost 200 000 out of the overall 550 000 families with an age-eligible child, one of the parents (usually the mother) is observed to be out of work. Using this, we estimate the likelihood of taking up work among these non-working mothers and conditional on the expected probabilities of employment we assigned additional families to the two more generous options of the program – either to “Active at work” (those with highest work probability) or to “Active in nursery” (those with lowest work probability). This allows us to evaluate potential changes in the cost and distributional implications of the program under different scenarios. Table 1 presents a set of “gross” and “net” costs of selected combinations of parental reactions. The “gross” costs correspond to the total expenditure of the “Active parent” program, while the “net” costs account first for the withdrawal of previous policies (see note to Figure 2), and second for the budget gains related to taxes and social insurance contributions paid by the parents who are simulated to take up work.
Table 1. “Active parent”: aggregate costs to the public budget under different assumptions concerning work and childcare adjustments among parents
Assuming no change in parental behavior (0 percent increase in work and 0 percent increase in enrollment in nursery), the total, “gross” cost of the program for the public finances amounts to 1.72 bn EUR, on average, annually. Savings related to the withdrawal of existing policies lower this cost by 0.5 bn EUR. Any modelled increase in nursery enrollment (with no concurrent reaction in the labor market) means an increase in both the “gross” and the “net” costs, while on the other hand an increase in labor market participation of the non-working parent (when nursery enrollment is held constant) expands the “gross” costs but reduces the “net” costs due to higher taxes and contributions paid in relation to simulated additional earnings.
The final distributional household effects of the program will depend on the actual reactions among parents. However, according to our simulations, the families who are most likely to either increase employment of the second parent or sign up their child for a nursery, and, thus, gain from the “Active at work” or “Active in nursery” options, are those currently located in the 2nd, 3rd, and 4th income decile group in the distribution (for more details see: Myck, Krol and Oczkowska, 2024).
Conclusion
The main objective behind the introduction of the new “Active parent” scheme is to increase the labor market participation among mothers with the youngest children. As the program aims to facilitate balancing professional careers with family life among parents, it can also be expected to contribute to increases in the fertility rate, which has recently fallen in Poland from 1.45 in 2017 to 1.16 in 2023 (CSO Poland).
The success of the “Active parent” program should be evaluated with respect to three important indicators:
- the resulting increase in the number of mothers who have taken up work,
- the increase in the number of children registered for nurseries,
- and, related to the latter – the increase in the availability of childcare places in different Polish municipalities.
It is worth noting that the “Active parent” program was introduced in parallel with the prior “Toddler +” program that aimed at creating new childcare institutions and more places in the existing ones in 2022-2029 in Poland. Central funding was distributed to reach these goals among local governments and private care providers. However, a 2024 midterm audit of the “Toddler +” program demonstrated the progress to be “insufficient and lagging” (Supreme Audit Office Poland, 2024). The “Active parent” program will play an important role in providing additional stimulus to the provision of new childcare places for the youngest kids in different Polish regions, which should help the “Toddler +” program to finally gather momentum. In the medium and long run, the development of high-quality formal childcare for children below 3 years will be a crucial determinant of an increase in early return to work among mothers.
Acknowledgment
The authors wish to acknowledge the support of the Swedish International Development Cooperation Agency (Sida) under the FROGEE project. The views presented in the Policy Brief reflect the opinions of the Authors and do not necessarily overlap with the position of the FREE Network or Sida.
References
- CSO (Central Statistical Office) Poland. Local Data Bank: Formal childcare: rate of children, number of places; Fertility rates.
- Eurostat. Labour force participation and part-time work.
- Myck, M., Krol, A., Oczkowska, M., (2024). “Active at work, in a nursery, or at home: Financial consequences of the “Active parent” program”, CenEA Report (in Polish).
- PEI (Polish Economic Institute). (2022). “Work vs. home. Parental challenges and their consequences”, PEI Report (in Polish).
- Social Insurance Institute. (2021). Number of parental leave benefits.
- Supreme Audit Office Poland. (2024). “Development of childcare system, including administration of the program “Toddler+”, Post-control results report (in Polish).
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Gender Gap in Life Expectancy and Its Socio-Economic Implications
Today women live longer than men virtually in every country of the world. Although scientists still struggle to fully explain this disparity, the most prominent sources of this gender inequality are biological and behavioral. From an evolutionary point of view, female longevity was more advantageous for offspring survival. This resulted in a higher frequency of non-fatal diseases among women and in a later onset of fatal conditions. The observed high variation in the longevity gap across countries, however, points towards an important role of social and behavioral arguments. These include higher consumption of alcohol, tobacco, and fats among men as well as a generally riskier behavior. The gender gap in life expectancy often reaches 6-12 percent of the average human lifespan and has remained stubbornly stable in many countries. Lower life expectancy among men is an important social concern on its own and has significant consequences for the well-being of their surviving partners and the economy as a whole. It is an important, yet under-discussed type of gender inequality.
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Gender Gap in Life Expectancy and Its Socio-Economic Implications
Today, women on average live longer than men across the globe. Despite the universality of this basic qualitative fact, the gender gap in life expectancy (GGLE) varies a lot across countries (as well as over time) and scientists have only a limited understanding of the causes of this variation (Rochelle et al., 2015). Regardless of the reasons for this discrepancy, it has sizable economic and financial implications. Abnormal male mortality makes a dent in the labour force in nations where GGLE happens to be the highest, while at the same time, large GGLE might contribute to a divergence in male and female discount factors with implications for employment and pension savings. Large discrepancies in life expectancy translate into a higher incidence of widowhood and a longer time in which women live as widows. The gender gap in life expectancy is one of the less frequently discussed dimensions of gender inequality, and while it clearly has negative implications for men, lower male longevity has also substantial negative consequences for women and society as a whole.
Figure A. Gender gap in life expectancy across selected countries
The earliest available reliable data on the relative longevity of men and women shows that the gender gap in life expectancy is not a new phenomenon. In the middle of the 19th century, women in Scandinavian countries outlived men by 3-5 years (Rochelle et al., 2015), and Bavarian nuns enjoyed an additional 1.1 years of life, relative to the monks (Luy, 2003). At the beginning of the 20th century, relative higher female longevity became universal as women started to live longer than men in almost every country (Barford et al., 2006). GGLE appears to be a complex phenomenon with no single factor able to fully explain it. Scientists from various fields such as anthropology, evolutionary biology, genetics, medical science, and economics have made numerous attempts to study the mechanisms behind this gender disparity. Their discoveries typically fall into one of two groups: biological and behavioural. Noteworthy, GGLE seems to be fairly unrelated to the basic economic fundamentals such as GDP per capita which in turn has a strong association with the level of healthcare, overall life expectancy, and human development index (Rochelle et al., 2015). Figure B presents the (lack of) association between GDP per capita and GGLE in a cross-section of countries. The data shows large heterogeneity, especially at low-income levels, and virtually no association from middle-level GDP per capita onwards.
Figure B. Association between gender gap in life expectancy and GDP per capita
Biological Factors
The main intuition behind female superior longevity provided by evolutionary biologists is based on the idea that the offspring’s survival rates disproportionally benefited from the presence of their mothers and grandmothers. The female hormone estrogen is known to lower the risks of cardiovascular disease. Women also have a better immune system which helps them avoid a number of life-threatening diseases, while also making them more likely to suffer from (non-fatal) autoimmune diseases (Schünemann et al., 2017). The basic genetic advantage of females comes from the mere fact of them having two X chromosomes and thus avoiding a number of diseases stemming from Y chromosome defects (Holden, 1987; Austad, 2006; Oksuzyan et al., 2008).
Despite a number of biological factors contributing to female longevity, it is well known that, on average, women have poorer health than men at the same age. This counterintuitive phenomenon is called the morbidity-mortality paradox (Kulminski et al., 2008). Figure C shows the estimated cumulative health deficits for both genders and their average life expectancies in the Canadian population, based on a study by Schünemann et al. (2017). It shows that at any age, women tend to have poorer health yet lower mortality rates than men. This paradox can be explained by two factors: women tend to suffer more from non-fatal diseases, and the onset of fatal diseases occurs later in life for women compared to men.
Figure C. Health deficits and life expectancy for Canadian men and women
Behavioural Factors
Given the large variation in GGLE, biological factors clearly cannot be the only driving force. Worldwide, men are three times more likely to die from road traffic injuries and two times more likely to drown than women (WHO, 2002). According to the World Health Organization (WHO), the average ratio of male-to-female completed suicides among the 183 surveyed countries is 3.78 (WHO, 2024). Schünemann et al. (2017) find that differences in behaviour can explain 3.2 out of 4.6 years of GGLE observed on average in developed countries. Statistics clearly show that men engage in unhealthy behaviours such as smoking and alcohol consumption much more often than women (Rochelle et al., 2015). Men are also more likely to be obese. Alcohol consumption plays a special role among behavioural contributors to the GGLE. A study based on data from 30 European countries found that alcohol consumption accounted for 10 to 20 percent of GGLE in Western Europe and for 20 to 30 percent in Eastern Europe (McCartney et al., 2011). Another group of authors has focused their research on Central and Eastern European countries between 1965 and 2012. They have estimated that throughout that time period between 15 and 19 percent of the GGLE can be attributed to alcohol (Trias-Llimós & Janssen, 2018). On the other hand, tobacco is estimated to be responsible for up to 30 percent and 20 percent of the gender gap in mortality in Eastern Europe and the rest of Europe, respectively (McCartney et al., 2011).
Another factor potentially decreasing male longevity is participation in risk-taking activities stemming from extreme events such as wars and military activities, high-risk jobs, and seemingly unnecessary health-hazardous actions. However, to the best of our knowledge, there is no rigorous research quantifying the contribution of these factors to the reduced male longevity. It is also plausible that the relative importance of these factors varies substantially by country and historical period.
Gender inequality and social gender norms also negatively affect men. Although women suffer from depression more frequently than men (Albert, 2015; Kuehner, 2017), it is men who commit most suicides. One study finds that men with lower masculinity (measured with a range of questions on social norms and gender role orientation) are less likely to suffer from coronary heart disease (Hunt et al., 2007). Finally, evidence shows that men are less likely to utilize medical care when facing the same health conditions as women and that they are also less likely to conduct regular medical check-ups (Trias-Llimós & Janssen, 2018).
It is possible to hypothesize that behavioural factors of premature male deaths may also be seen as biological ones with, for example, risky behaviour being somehow coded in male DNA. But this hypothesis may have only very limited truth to it as we observe how male longevity and GGLE vary between countries and even within countries over relatively short periods of time.
Economic Implications
Premature male mortality decreases the total labour force of one of the world leaders in GGLE, Belarus, by at least 4 percent (author’s own calculation, based on WHO data). Similar numbers for other developed nations range from 1 to 3 percent. Premature mortality, on average, costs European countries 1.2 percent of GDP, with 70 percent of these losses attributable to male excess mortality. If male premature mortality could be avoided, Sweden would gain 0.3 percent of GDP, Poland would gain 1.7 percent of GDP, while Latvia and Lithuania – countries with the highest GGLE in the EU – would each gain around 2.3 percent of GDP (Łyszczarz, 2019). Large disparities in the expected longevity also mean that women should anticipate longer post-retirement lives. Combined with the gender employment and pay gap, this implies that either women need to devote a larger percentage of their earnings to retirement savings or retirement systems need to include provisions to secure material support for surviving spouses. Since in most of the retirement systems the value of pensions is calculated using average, not gender-specific, life expectancy, the ensuing differences may result in a perception that men are not getting their fair share from accumulated contributions.
Policy Recommendations
To successfully limit the extent of the GGLE and to effectively address its consequences, more research is needed in the area of differential gender mortality. In the medical research dimension, it is noteworthy that, historically, women have been under-represented in recruitment into clinical trials, reporting of gender-disaggregated data in research has been low, and a larger amount of research funding has been allocated to “male diseases” (Holdcroft, 2007; Mirin, 2021). At the same time, the missing link research-wise is the peculiar discrepancy between a likely better understanding of male body and health and the poorer utilization of this knowledge.
The existing literature suggests several possible interventions that may substantially reduce premature male mortality. Among the top preventable behavioural factors are smoking and excessive alcohol consumption. Many studies point out substantial country differences in the contribution of these two factors to GGLE (McCartney, 2011), which might indicate that gender differences in alcohol and nicotine abuse may be amplified by the prevailing gender roles in a given society (Wilsnack et al., 2000). Since the other key factors impairing male longevity are stress and risky behaviour, it seems that a broader societal change away from the traditional gender norms is needed. As country differences in GGLE suggest, higher male mortality is mainly driven by behaviours often influenced by societies and policies. This gives hope that higher male mortality could be reduced as we move towards greater gender equality, and give more support to risk-reducing policies.
While the fundamental biological differences contributing to the GGLE cannot be changed, special attention should be devoted to improving healthcare utilization among men and to increasingly including the effects of sex and gender in medical research on health and disease (Holdcoft, 2007; Mirin, 2021; McGregor et al., 2016, Regitz-Zagrosek & Seeland, 2012).
References
- Albert, P. R. (2015). “Why is depression more prevalent in women?“. Journal of Psychiatry & Neuroscience, 40(4), 219.
- Austad, S. N. (2006). “Why women live longer than men: sex differences in longevity“. Gender Medicine, 3(2), 79-92.
- Barford, A., Dorling, D., Smith, G. D., & Shaw, M. (2006). “Life expectancy: women now on top everywhere“. BMJ, 332, 808. doi:10.1136/bmj.332.7545.808
- Holden, C. (1987). “Why do women live longer than men?“. Science, 238(4824), 158-160.
- Hunt, K., Lewars, H., Emslie, C., & Batty, G. D. (2007). “Decreased risk of death from coronary heart disease amongst men with higher ‘femininity’ scores: A general population cohort study“. International Journal of Epidemiology, 36, 612-620.
- Kulminski, A. M., Culminskaya, I. V., Ukraintseva, S. V., Arbeev, K. G., Land, K. C., & Yashin, A. I. (2008). “Sex-specific health deterioration and mortality: The morbidity-mortality paradox over age and time“. Experimental Gerontology, 43(12), 1052-1057.
- Luy, M. (2003). “Causes of Male Excess Mortality: Insights from Cloistered Populations“. Population and Development Review, 29(4), 647-676.
- McCartney, G., Mahmood, L., Leyland, A. H., Batty, G. D., & Hunt, K. (2011). “Contribution of smoking-related and alcohol-related deaths to the gender gap in mortality: Evidence from 30 European countries“. Tobacco Control, 20, 166-168.
- McGregor, A. J., Hasnain, M., Sandberg, K., Morrison, M. F., Berlin, M., & Trott, J. (2016). “How to study the impact of sex and gender in medical research: A review of resources“. Biology of Sex Differences, 7, 61-72.
- Mirin, A. A. (2021). “Gender disparity in the funding of diseases by the US National Institutes of Health“. Journal of Women’s Health, 30(7), 956-963.
- Oksuzyan, A., Juel, K., Vaupel, J. W., & Christensen, K. (2008). “Men: good health and high mortality. Sex differences in health and aging“. Aging Clinical and Experimental Research, 20(2), 91-102.
- Regitz-Zagrosek, V., & Seeland, U. (2012). “Sex and gender differences in clinical medicine“. Sex and Gender Differences in Pharmacology, 3-22.
- Rochelle, T. R., Yeung, D. K. Y., Harris Bond, M., & Li, L. M. W. (2015). “Predictors of the gender gap in life expectancy across 54 nations“. Psychology, Health & Medicine, 20(2), 129-138. doi:10.1080/13548506.2014.936884
- Schünemann, J., Strulik, H., & Trimborn, T. (2017). “The gender gap in mortality: How much is explained by behavior?“. Journal of Health Economics, 54, 79-90.
- Trias-Llimós, S., & Janssen, F. (2018). “Alcohol and gender gaps in life expectancy in eight Central and Eastern European countries“. European Journal of Public Health, 28(4), 687-692.
- WHO. (2002). “Gender and road traffic injuries“. World Health Organization.
- WHO. (2024). “Global health estimates: Leading causes of death“. World Health Organization.
- Łyszczarz, B. (2019). “Production losses associated with premature mortality in 28 European Union countries“. Journal of Global Health.
About FROGEE Policy Briefs
FROGEE Policy Briefs is a special series aimed at providing overviews and the popularization of economic research related to gender equality issues. Debates around policies related to gender equality are often highly politicized. We believe that using arguments derived from the most up to date research-based knowledge would help us build a more fruitful discussion of policy proposals and in the end achieve better outcomes.
The aim of the briefs is to improve the understanding of research-based arguments and their implications, by covering the key theories and the most important findings in areas of special interest to the current debate. The briefs start with short general overviews of a given theme, which are followed by a presentation of country-specific contexts, specific policy challenges, implemented reforms and a discussion of other policy options.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Active Labor Market Policy in the Baltic-Black Sea Region
This brief outlines the characteristics of active labor market policy (ALMP) in four countries in the Baltic-Black Sea region: Belarus, Lithuania, Poland, and Ukraine. An analysis of the financing expenditure structure within this framework reveals significant differences between the countries, even for Poland and Lithuania, where the policies are to be set within a common EU framework. Countries also differed in terms of their ALMP reaction to the economic challenges brought about by the Covid-19 pandemic, as Poland and Lithuania increased their ALMP spending, while Ukraine, and, especially, Belarus, lagged behind. Despite these differences, all four countries are likely to benefit from a range of common recommendations regarding the improvement of ALMP. These include implementing evidence-informed policymaking and conducting counterfactual impact evaluations, facilitated by social partnership. Establishing quantitative benchmarks for active labor market policy expenditures and labor force coverage by active labor market measures is also advised.
Introduction
This policy brief builds on a study aimed at conducting a comparative analysis of labor market regulation policies in Belarus, Ukraine, Lithuania, and Poland. In comparing the structure of labor market policy expenditures, the aim was to identify common features between Poland and Lithuania, both of which are part of the EU and employ advanced labor market regulation approaches. We also assessed Ukraine’s policies, currently being reformed to align with EU standards, contrasting them with Belarus, where economic reforms are hindered by the post-Soviet authoritarian regime.
The analysis of the labor market policies for the considered countries is based on an evaluation of the structure of pertinent measures between 2017 and 2020 (Mazol, 2022). We used the 2015 OECD systematization of measures of active labor market policy, as presented in the first column of Table 1.
Our study reveals substantial differences in active labor market policies within the four considered countries. Still, motivated by OECD’s approach to ALMP, we provide a range of common policy recommendations that are relevant for each country included in the study. Arguably, aligning with the OECD approach would have more value for current EU and OECD members, Poland and Lithuania, and the aspiring member, Ukraine. However, these recommendations also hold value when considering a reformation of the Belarusian labor market policy.
ALMP Expenditures in Belarus, Lithuania, Poland and Ukraine
Labor market policy comprises of active and passive components. Active labor market policy involves funding employment services and providing various forms of assistance to both unemployed individuals and employers. Its primary objective is to enhance qualifications and intensify job search efforts to improve the employment prospects of the unemployed (Bredgaard, 2015). Passive labor market policy (PLMP) encompasses measures to support the incomes of involuntarily unemployed individuals, and financing for early retirement.
Poland and Lithuania are both EU and OECD members, so one would expect their labor market policies to be driven by the EU framework, and, thus, mostly aligned. However, our analysis showed that the structure of their expenditures on active labor market policies in 2017-2019 differed (Mazol, 2022). In Lithuania, the majority of the funding was allocated to employment incentives for recruitment, job maintenance, and job sharing. From 2017 to 2019, the share for these measures was between 18 and 28 percent of all expenditures for state labor market regulation. In Poland, the majority of funding was allocated to measures supporting protected employment and rehabilitation. The spending on these measures fluctuated between 23 and 34 percent of all expenditures for state labor market regulation between 2017 and 2019.
The response to the labor market challenges during the Covid-19 pandemic in Poland and Lithuania resulted in a notable surge in state labor market policy spendings in 2020, amounting to 1.78 percent of GDP and 2.83 percent of GDP, respectively. Both countries sharply increased the total spending on employment incentives (see Table 1 which summarizes the expenditure allocation for 2020). Poland experienced a nine-fold increase in costs for financing these measures (29.4 percent of total expenditures on state labor market regulation). Meanwhile, in Lithuania, financing for employment incentives increased more than tenfold, amounting to 42.5 percent of all expenditures for state labor market regulation. In both countries it became the largest active labor market policy spending area.
Table 1. Financing of state labor market measures in Baltic-Black Sea region countries in 2020 (in millions of Euro).
In Ukraine, the primary focus for active labor market policy expenditures was, from 2017 to 2020, directed towards public employment services, comprising 18 to 24 percent of total labor market policy expenditures. Notably, despite the Covid-19 pandemic, there were no significant changes in either the structure or the volume of active labor market policy expenditures in Ukraine in 2020. Despite Ukraine’s active efforts to align its economic and social policies with EU standards, the government has underinvested in labor market policy, with expenditures accounting for only 0.33-0.37 percent of GDP between 2017 and 2020. This is significantly below the levels observed in Lithuania and Poland.
In Belarus, labor market policy financing is one of the last priorities for the government. In 2020, financing accounted for about 0.02 percent of GDP, amounts clearly insufficient for having a significant impact on the labor market. Moreover, Belarus stood out as the sole country in the reviewed group to have reduced its funding for labor market policies, including both active and income support measures, during the Covid-19 pandemic. The majority of the financing for labor market policy has been directed towards protected and supported employment and rehabilitation, including job creation initiatives for former prisoners, the youth and individuals with disabilities.
ALMP Improvement Recommendations
As illustrated above, the countries under review do not have a common approach to active labor market policy spendings. Further, countries like Poland and Lithuania took a more flexible stance on addressing labor market challenges caused by the Covid-19 pandemic, by implementing additional financial support for active labor market policies. However, Ukraine and Belarus did not adjust their expenditure structures accordingly. Part of these cross-country differences can be attributed to differing legal framework: Poland and Lithuania are OECD and EU member states, and, thus, subject to corresponding regulations. Ukraine is in turn motivated by the prospects of EU accession, while Belarus currently has no such prosperities to take into account.
Another important source of deviation arises from the differences in current labor market and economic conditions in the respective countries, and the governments’ need to accommodate these. While such a market-specific approach is well-justified, aligning expenditure structures with current labor market conditions necessitates obtaining updated and reliable information about the labor market situation and the effectiveness of specific labor market measures or programs. An effective labor market policy thus requires establishing a reliable system for assessing the efficiency of government measures, i.e., deploying evidence-informed policy making (OECD, 2022).
To achieve this, it is crucial to establish a robust system for monitoring and evaluating the implementation of specific measures. This involves leveraging data from various centralized sources, enhancing IT infrastructure to support data management, and utilizing modern methodologies such as counterfactual impact evaluations (OECD, 2022).
Moreover, an effective labor market regulation policy necessitates the ability to swiftly adapt existing active measures and service delivery methods in response to changes in the labor market. This might entail rapid adjustments in the legal framework, underscoring the importance of close cooperation and coordination among key stakeholders, and a well-functioning administrative structure (Lauringson and Lüske, 2021).
To accomplish this objective, it is vital to foster close collaboration between the government and institutions closely intertwined with the labor market, capable of providing essential information to labor market regulators. One of the most useful tools in this regard appears to be so-called social partnerships – a form of a dialogue between employers, employees, trade unions and public authorities, involving active information exchange and interaction (OECD, 2022).
A reliable system to assess labor market policy and in particular to facilitate their targeting, is an essential component of this approach.
Ukraine and Belarus are underfunding their labor market policies, both in comparison to the levels observed in Poland and Lithuania, and in absolute terms. It is therefore advisable to establish quantitative benchmark indicators to act as guidance for these countries, in order to ensure that any labor market policy implemented is adequately funded. Here, a reasonable approach is to align the costs of implementing labor market measures with the average annual levels for OECD countries (which are 0.5 percent of GDP for active measures and 1.63 percent for total labor market policy expenditures (OECD, 2024). Furthermore, it’s essential to ensure a high level of labor force participation in active labor market regulation measures. A target standard could be set, based on the average annual coverage from active labor market measures, at 5.8 percent of the national economy labor force, as observed in OECD countries (OECD, 2024).
Conclusion
The countries under review demonstrate varying structures of active labor market expenditures. Prior to the Covid-19 pandemic, employment incentives received the most financing in Lithuania. In Poland the largest share of expenditures was instead directed to measures to support protected employment and rehabilitation. In Ukraine, the main expenditures were directed towards financing employment services and unemployment benefits while Belarus primarily allocated funds to protected and supported employment and rehabilitation. Notably, Lithuania and Poland responded to the economic challenges following Covid-19 by significantly increasing spending on employment incentives, while Ukraine and Belarus did not undertake such measures.
Part of the diverging patterns may be attributable to the countries varying legal framework and differences in the countries respective labor market and economic conditions.
While some of the differences in labor market policies are thus justified, ensuring funding at the OECD level for labor market measures, alongside adequate tools for monitoring and evaluating labor market policies, are likely to benefit all four Baltic-Black Sea countries.
References
- Bredgaard, T. (2015). Evaluating What Works for Whom in Active Labour Market Policies. European Journal of Social Security, 17 (4), 436-452.
- DGESAI. (Directorate-General for Employment, Social Affairs and Inclusion). (2023. Expenditure by LMP intervention – country https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&subtheme=lmp_expend.lmp_expend_me&display=card&sort=category&extractionId=LMP_EXPME
- Lauringson, A. and Lüske M. (2021). Institutional Set-up of Active Labour Market Policy Provision in OECD and EU Countries: Organisational Set-up, Regulation and Capacity. OECD Social, Employment and Migration Working Papers no. 262.
- Mazol, A. (2022). Active Labor Market Policy in the Countries of the Baltic-Black Sea Region. BEROC Policy Paper Series, PP no. 115.
- OECD. (2015). OECD Employment database – Labour market policies and institutions https://www.oecd.org/employment/Coverage-and-classification-of-OECD-data-2015.pdf
- OECD. (2022). Impact Evaluation of Vocational Training and Employment Subsidies for the Unemployed in Lithuania. Connecting people with jobs. Paris: OECD Publishing.
- OECD. (2024). OECDstats: Labor market programs https://stats.oecd.org
- World Bank. (2023). World Development Indicators. https://databank.worldbank.org/source/world-development-indicators
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Widowhood in Poland: Reforming the Financial Support System
Drawing on a recent Policy Paper, we analyse the degree to which the current system of support in widowhood in Poland limits the extent of poverty among this large and growing group of the population. The analysis is set in the context of a proposed reform discussed lately in the Polish Parliament. We present the budgetary and distributional consequences of this proposal and offer an alternative scenario which limits the overall cost of the policy and directs additional resources to low-income households.
Introduction
Losing a partner usually comes with consequences, both for mental health and psychological well-being (Adena et al., 2023; Blanner Kristiansen et al., 2019; Lee et al., 2001; Steptoe et al., 2013), and for material welfare. Economic deprivation may be particularly pronounced in cases of high-income differentials between spouses and in situations when the primary earner – often the man – dies first. Many countries have instituted survivors’ pensions, whereby the surviving spouse continues to receive some of the income of her/his deceased partner alongside other incomes. The systems of support differ substantially between countries and they often combine social security benefits and welfare support for those with lowest incomes.
In this Policy Brief we summarise the results from a recent paper (Myck et al., 2024) and discuss the material situation of widows versus married couples in Poland. We show the degree to which the ‘survivors’ pension’, i.e. the current system of support in widowhood, limits the extent of poverty among widows and compare it to a proposed reform discussed lately in the Polish Parliament, the so called ‘widows’ pension’. In light of the examined consequences from this proposal we relate it to an alternative scenario, which – as we demonstrate – brings very similar benefits to low-income widows, but, at the same time, substantially reduces the cost of the policy.
Reforming the System of Support in Widowhood
Our analysis draws on a sample of married couples aged 65 and older from the Polish Household Budget Survey – a group representing a large part of the Polish population (almost 1,7 million couples). Each of these couples is assigned to an income decile, depending on the level of their disposable income. Incomes of 9.5 percent of the sample locate them in the bottom decile, i.e. the poorest 10 percent of the population, while 4.4 percent of these older couples have incomes high enough to place them in the top income group – the richest 10 percent of the population.
Next, in order to examine the effectiveness of the different systems of support, we conduct the following exercise: incomes of these households are re-calculated assuming the husbands have passed away. This simulates the incomes of the sampled women in hypothetical scenarios of widowhood. The incomes are calculated under four different systems of support as summarized in Table 1.
Table 1. Modelled support scenarios.
Using these re-calculated household incomes, we can identify the relative position in the income distribution in the widowhood scenario as well as the poverty risk among widows under different support systems.
The change in the relative position in the income distribution following widowhood under the four support systems is presented in Figure 1. The starting point (the left-hand side of each chart) are the income groups of households with married couples aged 65+, i.e. before the simulated widowhood. The transition to the income deciles on the right-hand side of each chart is the result of a change in equivalised (i.e. adjusted for household composition) disposable income in the widowhood simulation, under different support scenarios (I – IV).
Figure 1. Change in income decile among women aged 65+, following a hypothetical death of their husbands.
Figure 1a shows that, without any additional support, the financial situation of older women would significantly deteriorate in the event of the death of their spouses (Figure 1a). The share of women with incomes in the lowest two deciles would be as high as 54.7 percent (compared to 17.5 percent of married couples). The current survivor’s pension seems to protect a large proportion of women from experiencing large reductions in their income (Figure 1b), although the proportion of those who find themselves in the lowest two income decile groups more than doubles relative to married couples (to 38.3 percent). The widow’s pension (Figure 1c) offers much greater support and a very large share of new widows remain in the same decile or even move to a higher income group following the hypothetical death of their spouses. For example, with the widows’ pension, 8.0 percent of the widows would be in the 9th income decile group and 5.3 percent in the 10th group, while in comparison 7.0 and 4.4 percent of married couples found themselves in these groups, respectively. The proposed alternative system (Figure 1d) raises widows’ incomes compared to the current survivor’s pension system, but it is less generous than the system with the widow’s pension. At the same time 4.6 percent and 3.4 percent of widows would be found in the 9th and 10th deciles, respectively.
Importantly, the alternative support system is almost as effective in reducing the poverty risk among widows as the widow’s pension. In the latter case the share of at-risk-of poverty drops from 35.3 percent (with no support) and 20.7 percent (under the current system) to 11,0 percent, while under the alternative system, it drops to 11.8 percent. Because the alternative system limits additional support to households with higher incomes, this reduction in at-risk-of poverty would be achieved at a much lower cost to the public budget. We estimate that while the current reform proposal would result in annual cost of 24.1 bn PLN (5.6 bn EUR), the alternative design would cost only 10.5 bn PLN (2.5 bn EUR).
The distributional implications of the two reforms are presented in Figure 2 which shows the average gains in the incomes of ‘widowed’ households between the reformed versions of support and the current system with the survivor’s pension. The gains are presented by income decile of the married households. We see that the alternative system significantly limits the gains among households in the upper half of the income distribution.
Figure 2. Average gains from an implementation of the widow’s pension and the alternative system, by income decile groups.
Conclusions
While subjective evaluations of the material conditions of older persons living alone in Poland have shown significant improvements, income poverty within this groups has increased since 2015. This suggests that the incomes of older individuals have not sufficiently kept up with the dynamics of earnings of and social transfers to other social groups in Poland. As shown in our simulations, the current widowhood support system substantially limits the risk of poverty following the death of one’s partner. However, while the current survivor’s pension decreases the poverty risk from 35.3 percent in a system without any support to 20.7 percent, the risk of poverty among widows is still significantly higher compared to the risk faced by married couples.
The simulations presented in this Policy Brief examine the implications of a support system reform; the widow’s pension which is currently being discussed in the Polish Parliament, as well as an alternative proposal putting more emphasis on poorer households. The impactof these two reforms on the at-risk-of poverty levels among widowed individuals would be very similar, but the design of the alternative system would come at a significantly lower cost to the public budget. The total annual cost to the public sector of the widow’s pensions would amount to 24.1 bn PLN (5.6 bn EUR) while our proposed alternative would cost only 10.5 bn PLN (2.5 bn EUR) per year.
An effective policy design allowing the government to achieve its objectives at the lowest possible costs should always be among the government main priorities. This is especially important in times of high budget pressure – due to demographic changes or other risks – as is currently the case in Poland.
References
- Adena, M., Hamermesh, D., Myck, M., & Oczkowska, M. (2023). Home Alone: Widows’ Well-Being and Time. Journal of Happiness Studies.
- Blanner Kristiansen, C., Kjær, J. N., Hjorth, P., Andersen, K., & Prina, A. M. (2019). Prevalence of common mental disorders in widowhood: A systematic review and meta-analysis. Journal of Affective Disorders, 245, 1016–1023.
- Lee, G. R., DeMaris, A., Bavin, S., & Sullivan, R. (2001). Gender Differences in the Depressive Effect of Widowhood in Later Life. The Journals of Gerontology: Series B, 56(1), S56–S61.
- Myck, M., Król, A. & Oczkowska, M. (2024). Reforming financial support in widowhood: the current system in Poland and its potential reforms. FREE Network Policy Paper Series.
- Steptoe, A., Shankar, A., Demakakos, P., & Wardle, J. (2013). Social isolation, loneliness, and all-cause mortality in older men and women. Proceedings of the National Academy of Sciences, 110(15), 5797–5801.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Reforming Financial Support in Widowhood: The Current System in Poland and Potential Reforms
In this policy paper, we discuss the material conditions of widows and widowers compared to married couples in Poland, and analyse the degree to which the current support system to those in widowhood in Poland limits the extent of poverty among this large and growing share of the population. The analysis is set in the context of a proposed reform recently discussed in the Polish Parliament. We present the budgetary and distributional consequences of this proposal and offer an alternative scenario which limits the overall cost of the policy and directs additional resources to low income households.
Introduction
According to the National Census in 2021 there were about 2.2 million widows and 450 000 widowers in Poland. In the following year over 123 000 women and about 47 000 men became widowed. Apart from the severe consequences for mental health and psychological well-being, losing a partner typically has implications also for material wellbeing, in particular in cases of high income differentials between the spouses and in situations when the primary earner – often the man – dies first. Material conditions of the surviving spouse in widowhood depend on the one hand on the couple’s accumulated resources, and, on the other hand, on the available support system. Many countries have instituted so-called survivors’ pensions, whereby the surviving spouse continues to receive some of the income of her/his deceased partner alongside other incomes. The systems of support differ substantially between countries and they often combine social security benefits and welfare support for those with the lowest incomes.
In this policy paper we discuss the material situation of widows and widowers versus married couples in Poland and analyse the degree to which the current Polish support system for people in widowhood limits the extent of poverty within this group. We compare the current system of survivors’ pension with a proposed reform discussed lately in the Polish Parliament;the introduction of a ‘widow’s pension’. We present the budgetary and distributional consequences of the announced scheme and offer an alternative scenario which limits the overall cost of the policy and focuses additional resources on low income households. Our results show significant income gains for widows/widowers from the implementation of the recently proposed widow’s pension. The policy however, would come at a substantial cost to the public purse, and the most significant benefits would be accrued by surviving partners at the top of the income distribution. Our proposed alternative scenario is better targeted at poorer households and achieves the objective of limiting poverty in widowhood at a substantially lower cost.
The Material Situation of Widows and Widowers in Poland
Numerous research papers show a strong impact of losing a spouse on mental health and overall well-being (Blanner Kristiansen et al., 2019; Lee et al., 2001; Ory & Huijts, 2015; Sasson & Umberson, 2014; Schaan, 2013; Siflinger, 2017; Steptoe et al., 2013). Adena et al. (2023) use a comprehensive dataset on older women observed a number of years before and after the death of their spouses. The study finds a sharp deterioration in mental health among widows after their partner’s death, displayed as a higher likelihood of crying (Figure 1a) or an increased probability of depression (Figure 1b). The authors provide evidence that, in comparison to similar women who remained partnered, widows suffer from poorer mental health and experience worsened quality of life for several years after their partners’ death.
Figure 1. Women’s mental health before and after their partners’ death.
While the impact of spouse’s death on widows mental health is largely undisputed, the impacts on their material situation are ambiguous (Ahn, 2005; Bíró, 2013; Bound et al., 1991; Corden et al., 2008; Hungerford, 2001).The differences across countries in the material situation of widowed versus partnered elderly people undoubtedly reflect countries’ various social security systems for those in widowhood. At the same time, these differences may also stem from variations in other factors that widows and widwers can rely on such as the prevalence of property ownership or accumulation of wealth and savings. It should be noted though, that in contrast to the immediate effects of spouse’s death on mental health, the consequences for widows’ and widowers’ material situation may unfold over a number of years. This is reflected in the results from poverty surveys which often point to the poorer material standing of widows and widowers (Panek et al., 2015; Petelczyc & Roicka, 2016; Timoszuk, 2017, 2021).
Similar conclusions can be derived from subjective evaluations of households’ material situation reflected in the Central Statistical Office’s Polish Household Budget Survey (HBS). In Figure 2a we present the percentage of people aged 65 and over who declared a ‘bad’ or ‘rather bad’ material situation of their household between 2010 and 2021, split between widows, widowers and married couples.. Throughout the analysed period, the share of both widows and widowers reporting a rather bad material situation was significantly higher than for married couples aged 65+. While in 2010 30 percent of widows and 20 percent of widowers reported a rather bad material standing, this share amounted to just above 10 percent among married couples. In all social groups the ratio of those in a rather bad material situation declined significantly over the analysed decade. A particularly significant drop was observed among widows; in 2021 the share of widows declaring a rather bad material situation declined to the level observed for married couples eleven years earlier.
Data capturing the risk of poverty from Eurostat, based on the EU Statistics on Income and Living Conditions Survey (EU-SILC), also display significantly worse material conditions of older individuals living alone compared to those living with another adult (Figure 2b). While this data does not explicitly allow us to divide the sample based on marital status, it is highly likely (and assumed hereafter) that the majority of single-person households 65+ cover widows or widowers, while two-person households aged 65+represent married couples. As compared to Figure 2a, the dynamics of the poverty levels among people aged 65+ in Figure 2b differ from the dynamics of the assessment of the overall material situation. Among two-person households, the risk of poverty in Poland declined between 2010 and 2013, and then remained relatively stable at about 15 percent until 2020. Among one-person households the poverty rate also declined during the first five years (from 33 percent in 2010 to 25 percent in 2015), however, it then increased to 37 percent in 2020. Consequently, the gap in poverty risk between two-person and one-person households increased substantially, from 8 percentage points in 2010 to 22 percentage points in 2020.
Figure 2. Material situation among households with individuals aged 65 and over.
When analyzing poverty risk information, it should be noted that this indicator is based on income thresholds calculated separately for each year, accounting for the whole population. Poverty risk threshold may therefore increase as a result of income boosts among other groups and in consequence raise the risk of poverty of older people even if their real incomes are stable or grow. Thus the substantial increase in o the poverty risk share among Polish individuals 65+ and living alone after 2015, is related to the sharp rise in income of families with children and wage dynamics, which, in turn raised the poverty threshold considered in the analysis. Based on Figure 2b it is also worth noting that in comparison to Poland the risk of poverty among single-person households 65+ grew even faster in the Czech Republic (though the situation among two-person households 65+ was stable there). The relative position of these households deteriorated also in Germany (the share at risk of poverty increased from 24 percent in 2010 to 31 percent in 2020). It is therefore clear that even though absolute material conditions may have improved among widowed households in Poland over the last decade, their relative position in the income distribution – as in many other countries – places them at a significantly greater risk of poverty compared to partnered older individuals. Questions regarding the level of state support directed towards widowed older individuals are therefore highly relevant for government policy.
Figure 3. The living situation of widows, widowers and married couples aged 65 and over, in Poland.
To better understand the broader context of material conditions in widowhood, and to try to address the discrepancy between the trends in subjective evaluation and widows’ relative position in the income distribution, it is also worth examining other aspects of material well-being. In Figure 3a we present some statistics on property ownership. As we can see, the majority of individuals aged 65+ in Poland, both widowed and married, owned the house or flat they lived in. For example, in 2010 62 percent of all widows and 68 percent of all widowers owned their dwelling, and these shares increased to 72 percent for both groups by 2021. Moreover, among older owner occupiers, the size of the house or apartment per person living in it was on average two times larger for widows and widowers (50 m2) as compared to married couples (25 m2), as depicted in Figure 3b. The high share of widows and widowers owning housing assets may therefore be one of the most important explanations to the discrepancies between the dynamics of income poverty and the declarations about the overall material situation observed in recent years. Although the risk of relative income poverty among widows and widowers have increased since 2016 (after a period of decline between 2010 and 2015), widowhood in Poland is not unequivocally associated with poor material conditions. While some widowed individuals clearly face a challenging material situation, for many the current system of survivor’s pension seems to offer adequate protection against the risk of a significant financial deterioration following the loss of a spouse. This suggests that any additional support through a new social security instrument should be directed principally to a relatively narrow group of widows and widowers in order to help particularly those in a difficult financial situation.
Survivor’s Pension, Widow’s Pension and an Alternative Solution
In this part of the paper we present simulations of changes in the level of household income and the relative position in the income distribution among widows under different scenarios of support through the social security system. In the first step we use the 2021 HBS data (uprated to 2023 income levels) to calculate disposable incomes of the entire sample of nearly 31 000 households under the 2024 Polish tax-benefit system using the SIMPL tax and benefit microsimulation model (henceforth the ‘baseline’ system; more details on the SIMPL model: Myck et al., 2015, 2023a; Myck & Najsztub, 2014). Based on the baseline system, we divide the households into ten income decile groups according to their disposable income (equivalised, i.e. adjusted for household composition). In the second step we focus on the sample of 4188 married couples aged 65 and over, representing 1.7 million Polish households (almost 13 percent of the total population). 65 percent of these couples lived in two-person households and the remaining 35 percent cohabited also with other people. In the baseline system, the incomes received by these households placed 9.5 percent of them in the lowest (1st) income decile group and 4.4 percent in the highest (10th) group (see Table 1).
Table 1. Relative position of households with married couples aged 65+ in the income distribution.
Figure 4a shows a comparison of men’s and women’s gross retirement pensions in our sample of married couples 65+ in the baseline system. Every dot corresponds to one married couple and a combination of the spouses’ pensions. The greater concentration of combinations of these values above the 45-degree line indicates that in most marriages , the husbands’ retirement pensions are higher than the wives’. The differences are also apparent in Figure 4b, which presents the percentages of individuals receiving a pension benefit within the given value range of the pension. The share of women are greater than the share of men at lower benefit values (below 3000 PLN gross per month), and the opposite is true for higher pension amounts. Overall, for 65 percent of all couples, the husband received a higher retirement pension than his wife. There are also older people who did not receive retirement benefits – either because they continued to work or because they were not entitled to a retirement pension (this is the case for 9 percent of husbands and 10 percent of wives), as illustrated by the first column in Figure 4b. It is worth noting that for 2 percent of the couples only the husband received a retirement pension (the wife had never worked and was not eligible for retirement pension or she still worked). In the current Polish system of support for surviving spouses, the amount of own and spouse’s retirement pension is crucial for the choice of the benefit one makes when a spouse dies. A widowed person can choose to continue receiving their own full retirement pension or to receive a survivor’s pension, which is equivalent to 85 percent of the pension of the deceased spouse. Given the differences between men’s and women’s pensions, many women choose the latter option, either because their own retirement pension is significantly lower than the survivor’s pension or because they are not entitled to their own retirement pension.
Figure 4. Retirement pension amounts received by husbands and wives aged 65+
We treat the sample of married couples aged 65 years or more as a reference sample in our analysis of the consequences from the implementation of various support schemes within the social security system, in the case of widowhood. The calculations presented below reflect the financial situation of the analyzed sample after the hypothetical death of husbands. We focus on widows, as they represent the vast majority of widowed individuals (due to, e.g., longer life expectancy of women and age differences between spouses). We simulate four support scenarios:
I) a system with no support for widowed individuals – this would be the situation without the current survivor’s pension, in which widows would need to rely fully on their own social security incomes (pensions);
II) the current system of survivor’s pension: in which the widow must choose between 100 percent of her own pension or the survivor’s pension (85 percent of her deceased husband’s gross pension)
III) a system with the widow’s pension (currently debated in the Polish Parliament): the widow must choose between: a) 100 percent of her own pension + 50 percent of the survivor’s pension (42,5 percent of the deceased husband’s gross pension), b) 50 percent of her own pension + 100 percent of the survivor’s pension (85 percent of her dead husband’s gross pension);
IV) an alternative system in which the widow chooses between: a) 100 percent of her own pension + 50 percent of a minimum pension if her husband received at least minimum retirement pension (50 percent of the husband’s pension if it was lower than the minimum pension), b) 100 percent of the survivor’s pension (85 percent of the husband’s pension) increased to the minimum pension if the husband received at least minimum retirement pension.
While the simulations are based on a hypothetical death of a husband, they provide a realistic picture of the financial situation of households in which women face widowhood. It is also important to note that the simulations of the financial conditions of ‘widowed’ households take into account other potential forms of public social support such as housing benefits and social assistance for low-income households. The results thus include the most relevant forms of financial support individuals might receive from the Polish government.
Figure 5 shows the results of the four aforementioned scenarios in the form of flow charts between income decile groups. The starting point (the left-hand side of each chart) are the income groups of households with married couples aged 65+, i.e. before the simulated widowhood. The transition to the income deciles on the right hand side of each chart is the result of a change in equivalised disposable income in the widowhood simulation, under different support scenarios (I – IV). Thus, on the right hand side we observe the income groups in which the women would find themselves after the death of their husbands, conditional on the assumed system of support: without the survivor’s pension (system I, Figure 5a), with the survivor’s pension (system II, figure 5b), with the widow’s pension (system III, Figure 5c) and under the alternative system (system IV, Figure 5d).
Figure 5a shows that without any additional support the financial situation of older women would significantly deteriorate in the event of the death of their spouses (Figure 5a). The share of women whose income would place them in the lowest two decile groups would be as high as 54.7 percent (compared to 17.5 percent of married couples), and 82.8 percent of the widows would be in the bottom half of the income distribution (compared to 57 percent of married couples). The current survivor’s pension seems to protect a large proportion of women (Figure 5b), although the proportion of those who find themselves in the lowest two income decile groups still more than doubles relative to the situation of married couples, to 38.3 percent. Further, 74.9 percent of the widows would find themselves in the bottom half of the distribution. The proposed widow’s pension (Figure 5c) offers much greater support with a very high share of new widows remaining in the same decile or even moving to a higher income group. For example, with the widows’ pension 8.0 percent of women would be in the 9th income decile group and 5.3 percent in the 10th group, while, in comparison, 7.0 percent and 4.4 percent of married couples found themselves in these groups, respectively.
Figure 5. Change in income decile among women aged 65+, following a hypothetical death of their husbands.
The proposed alternative system (Figure 5d) raises widows’ incomes compared to the current survivor’s pension system, but it is less generous than the system with the widow’s pension. Importantly however, it increases the incomes of widows in the lower income groups, which means that, compared to the current system, the number of women dropping to the poorest income groups following their husband’s death would be significantly reduced (24.0 percent would be in the lowest two deciles). At the same time 4.6 percent and 3.4 percent of the widows would be placed in the 9th and the 10th decile groups, respectively.
Table 2 shows the change in the poverty risk among the women in five considered scenarios, i.e. before they become widowed and after the hypothetical death of their husband under the considered four systems of support. 10.5 percent of married couples aged 65+ had equivalised disposable incomes which placed them below the poverty line calculated in the baseline system. After the simulated death of a husband, in a scenario without the survivor’s pension, the poverty rate among widows would increase to 35.3 percent, while the current survivor’s pension limits it to 20.7 percent. Poverty would be further reduced in the two systems with considered reforms: to 11.0 percent the widow’s pension system and to 11.8 percent in the alternative system.
Table 2. At-risk-of-poverty rates in the analysed scenarios.
Total Costs of the Considered Schemes
As mentioned above, the presented simulations take into account the conditions of current older couples. Therefore, we cannot directly calculate the consequences of the two suggested systems (the widow’s pension system and the alternative system) for those who are already widowed. This applies in particular to the present-day cost from the suggested changes to the widowhood support schemes to the public budget . In order to accurately estimate the changes in already widowed people’s incomes, we would have to have the information on the values of widow’s pensions and of pensions that their deceased spouses received when they were still alive, information that is not available in the HBS.
Nevertheless, our simulations allow us to compare the aggregated costs of support for women in the simulated widowhood scenarios under different support systems. Such calculations suggest that an implementation of the widow’s pension would increase the gross benefits received by widows by 34.2 percent compared to the current survivor’s pension system., while the alternative system would raise them by 14.7 percent. Applying these growth rates to the social security benefits currently received by widows and widowers (from the HBS data) implies additional annual costs of 24.1 bn PLN (5.6 bn EUR) under the widow’s pension system, and 10.5 bn PLN (2.5 bn EUR) under the alternative system.
Who Gains the Most?
From a distributional perspective, the simulated outcomes of the two suggested systems of support in widowhood can be compared to the baseline situation. In Figure 6 we show average changes in widowed women’s disposable income resulting from a change from the current system with survivor’s pension to the system with widow’s pension, and to our alternative design. Gross monthly survivor’s pensions of the widows are divided into seven groups, starting from 0-500 PLN up to 5501 PLN and more. One can clearly see that women who would, on average, gain the most from the implementation of the widow’s pension are those who already have a relatively high survivor’s pension in the current system. The average rise in disposable income (net) among those with gross monthly pensions between 4501 and 5500 PLN would be 1200 PLN, if widow’s pension was implemented. In contrast, women who receive 501-1500 PLN (gross) per month under the current survivor’s pension, would see a net monthly gain of about 350 PLN. These women would benefit slightly more under the alternative system – on average about 390 PLN, while much lower increases (on average about 220 PLN per month) would be faced by women in the 4501-5500 PLN group. Women in the last group, with gross monthly pensions of 5501 PLN and more under the current survivor’s pension system, would additionally gain even less in the alternative system – on average about 170 PLN. Thus overall, greater gains would accrue to those with lower current benefits in the alternative system.
Figure 6. Average increase in disposable income among widows by current survivor’s pensions’ value group.
In Figure 7 we categorise the sample of widows in terms of the range of their gains resulting from the two analysed reforms. The gains are calculated as changes in disposable income between the current system of support and the modelled reforms. We see that 20 percent of widows would gain over 1000 PLN extra per month as a result of the widow’s pension’s reform, while a further 24 percent would gain between 801 to 1000 PLN and 28 percent could expect to see a gain of between 601-800 PLN per month. The reform would leave the incomes of only about 12 percent of the widows unchanged – most of them are women who are not eligible for their own retirement pensions. In the alternative system the incomes of 34 percent of the analysed widows would remain unaffected. This group of women includes not only those without their own retirement pensions, but also those whose husbands received much higher pensions than themselves. This means that even if a widow’s retirement pension were to increase by 50 percent of the minimum pension, it would still be lower than 85 percent of her spouse’s retirement pension (see Figure 4a). In the alternative system about 17 percent of women in the sample would increase their disposable income by less than 400 PLN per month. For 28 percent, the increase would be in the range of between 400 and 600 PLN per month. While 21 percent would receive increased benefits under the alternative system, none of the hypothetical widows would receive more than 800 PLN per month.
Figure 7. Share of women by ranges of increases from the widow’s pension and the alternative scenario.
Figure 8 presents the average effect of the modelled reforms on disposable incomes of women in the sample, divided by income decile groups. Households were assigned to one of ten income groups based on their equivalised disposable income in the baseline system (i.e. according to the joint income of the couples). Figure 8 reflects the distribution of gains from the implementation of the widow’s pension or the alternative system. In the first case, the highest gains would be concentrated among the richest households. While women in the 8th and 9th income decile would, on average, receive an increase in their disposable income of about 1100 PLN per month, those in the 2nd decile group would, on average, receive only an additional 470 PLN per month. The distribution under the alternative system is far more concentrated on low income households. The highest average additional gain of about 420 PLN per month would be granted to widows from the 3rd income decile group, and benefits to women in the upper half of the income distribution would be significantly lower. Women in the top decile would gain, on average, only about 280 PLN per month. In many of the poorest households in our sample of couples, neither partner qualifies for a retirement pension. As a result, widows in this group would experience significantly lower average gains under both analyzed systems compared to those in higher income brackets.
Figure 8. Average gains due to the implementation of widow’s pension and the alternative system, by income decile group.
Conclusion
In 2021 only 10 percent of the Polish widows and 8 percent of the Polish widowers aged 65 and more evaluated their material situation as rather bad, percentages that had dropped significantly since 2010. According to the HBS the majority of widowed individuals in Poland are also owners of the dwelling they live in. At the same time, income poverty among older persons living alone has increased in Poland since 2015, suggesting that despite the subjective evaluations, incomes of these older individuals – many of whom are widowed – have not managed to keep up with the dynamics of earnings and social transfers aimed at other demographic groups in Poland. As showed in our simulations, the current widowhood support system in Poland substantially limits the risk of poverty following the death of one’s partner. However, while the current survivor’s pension decreases the poverty risk from 35.3 percent (in a system without any support) to 20.7 percent, the risk of poverty among widows is still significantly higher compared to the risk faced by married couples.
The simulations analysed in this Policy Paper has covered the proposal of a support system reform, thewidow’s pension, which is currently discussed in the Polish Parliament. The simulations also covered an alternative alternative proposal putting more emphasis on poorer households. Both of these reforms would provide additional support to individuals affected by widowhood. In the case of the widow’s pension the average value of social security benefits would increase by 34.2 percent, whereas the alternative scenario would increase these benefits by 14.7 percent. If the pensions of current widows and widowers were to be increase by these proportions, the total annual cost to the public sector would amount to 24.1 bn PLN (5.6 bn EUR) and 10.5 bn PLN (2.5 bn EUR) per year, respectively. As shown above, the impact of these two reforms on poverty levels among widowed individuals would be very similar – the reforms would reduce it to 11.0 and 11.8 percent, respectively. The substantial difference in the total cost of these two alternatives is mainly due to the fact that the bulk of the additional benefits from the implementation of the widow’s pension is concentrated among high-income widows and widowers, while the highest profits in the modelled alternative system are targeted at households at the bottom of the income distribution.
If the aim of the potential legislative changes is to support widows and widowers in a difficult material situation and to reduce the extent of poverty, the widow’s pension currently discussed in the Polish Parliament seems to be far from ideal. As demonstrated in this Policy Paper, additional support addressed to widows and widowers in Poland can be designed in a way that substantially reduces the risk of poverty, with limitations on benefit increases to those already in a favourable financial situation. Our proposed alternative system would generate higher incomes for the poorest widows and widowers similar to the widow’s pension, while its cost to the public budget would be less than half of the cost of the discussed widow’s pension reform.
References
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- Myck, M., Król, A., Oczkowska, M., & Trzciński, K. (2023a). Komentarze Przedwyborcze CenEA 2023: Druga kadencja rządów Zjednoczonej Prawicy: Wsparcie rodzin w czasach wysokiej inflacji. https://cenea.org.pl/2023/09/13/wybory-parlamentarne-2023-w-polsce-komentarze-przedwyborcze-cenea/
- Myck, M., Król, A., Oczkowska, M., & Trzciński, K. (2023b). Komentarze Przedwyborcze CenEA 2023: Materiały metodyczne. https://cenea.org.pl/2023/09/13/wybory-parlamentarne-2023-w-polsce-komentarze-przedwyborcze-cenea/
- Myck, M., Michał Kundera, Najsztub, M., & Oczkowska, M. (2015). Przedwyborcze miliardy: Jak je wydać i skąd je wziąć (II; Raport Przedwyborczy CenEA 2015). CenEA. http://cenea.org.pl/Badania/Research/raportvat.html
- Myck, M., & Najsztub, M. (2014). Data and Model Cross-validation to Improve Accuracy ofMicrosimulation Results: Estimates for the Polish Household Budget Survey. International Journal of Microsimulation, 8(1), 33–66. https://doi.org/10.34196/ijm.00111
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Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Greening Politics – Navigating Environmental Policy Consistency Amidst Political Change
The Stockholm Institute of Transition Economics (SITE) and the Forum for Research on Eastern Europe: Climate and Environment (FREECE) would like to invite you to its 2024 SITE Energy Talk. This edition will address the complexities of upholding environmental policies amidst a changing political landscape.
In the ongoing battle against climate change, maintaining our environmental commitments is more crucial than ever. However, the evolving landscape of global politics, marked by shifting international relations and significant concerns regarding democratic regression, presents escalating challenges to the continuity of our environmental objectives and obligations. This year’s SITE Energy Talk will prioritize the identification of risks posed by political transitions to our environmental aspirations and explore strategies for maintaining the credibility of environmental policies in the face of political flux.
Speakers
Michaël Aklin
Michaël Aklin, Associate Professor of Economics and holder of the Chair of Policy & Sustainability (PASU) at the Swiss Federal Institute of Technology Lausanne, who will offer a broader European perspective.
Thomas Tangerås
Thomas Tangerås, Associate Professor, Program Director at the Research Institute of Industrial Economics (IFN), who will address the Swedish perspective on the issue.
Paweł Wróbel
Paweł Wróbel, Energy and climate regulatory affairs professional. Founder of GateBrussels and Managing Director of BalticWind.EU, who will present Polish perspective on green transition in the face of European and regional challenges.
Registration
The event will take place in room Torsten, Sveavägen 65, 113 50 Stockholm (the main building of SSE) and the registration opens at 11.45 near room Torsten.
The event will also be streamed online via Zoom for those who cannot join the event in person. Please register via the Trippus platform:
NOTE: A light lunch will be provided for those who pre-register for in-person participation.
Please contact site@hhs.se if you have any questions regarding the event.
Highlights from Previous SITE Energy Talk Events
SITE Energy Talk is an annual event. The purpose is to bring together scholars and practitioners to discuss recent developments in the energy markets and regulation, such as:
- Energy infrastructure resilience and sustainable future (2023)
- Energy storage: Opportunities and challenges (2021)
- Energy demand management from a behavioral perspective (2018)
- Technological development, geopolitical and environmental issues in our energy future (2017)
- The impact of the technology changes on the energy market (2016)
- Economic impacts of oil price fluctuations (2015)
Polish Parliamentary Elections 2023: Social Transfers and the Voters the Government is Counting On
The heated election campaign preceding the October 15th election in Poland has focused on fundamental issues related to the rule of law, migration, media freedom, women’s and minority rights, climate policy as well as Poland’s role on the international arena. The election outcome will determine Poland’s role in the EU and as well as the country’s future relations with Ukraine. It will also be decisive for the direction of Polish politics and the foundations of socio-economic development for many years to come. Despite these issues, the primary worries for a substantial portion of Polish households concern the domestic challenges of increasing prices and material uncertainty. With this in mind, this Policy Brief summarizes the results of CenEA’s recent analysis, which demonstrates a clear pattern in the United Right government’s policy, that in the last four years has strongly favored older groups of the Polish population. In the 2019 elections financial support directed to families with children was a key factor in securing a second term in office for the governing coalition. It remains to be seen if the focus on older voters pays off in the same way on October 15th.
Introduction
The upcoming parliamentary elections on October 15th will close a very special term of the Polish Parliament, marked by the Covid-19 pandemic, a surge in prices of goods and services, as well as the full-scale, ongoing Russian invasion of Ukraine and the tragic consequences associated with it. An evaluation of the second term of the United Right’s (Zjednoczona Prawica) government should, on the one hand, cover the most important decisions made in response to these crises. On the other hand, the last four years have also been a time of significant decisions with important medium- and long-term consequences, both directly for Polish households’ financial situation and more broadly for the economy at large and the country’s socio-economic development.
The heated election campaign has focused on the fundamental issues related to the rule of law, migration, media freedom, women’s and minority rights, climate policy as well as Poland’s role on the international arena. The upcoming vote is likely to be decisive in regard to Poland’s relations with partners in the EU, the role it will play in the EU and – as recent government declarations have demonstrated – the development of future relations with Ukraine. The result of the October elections will be pivotal also for the direction of Polish politics and the foundations of socio-economic development for many years to come. At the same time however, recent surveys have shown that the main concern for a significant part of the Polish society lies closer to home, driven by the challenges of rising prices of goods and services and related material uncertainty.
In light of this, this policy brief summarizes the tax and benefit policies directly affecting household finances, which were implemented in the first and second term of the United Right’s rule (i.e., 2015-2019 and 2019-2023). The brief draws upon a detailed analysis published recently in the CenEA Preelection Commentaries (Myck et al. 2023 a,b,c). The results show a notable shift in the government’s focus – while families with children were the main beneficiaries of the reforms implemented in the first term, the policies over the last four years have concentrated transfers and tax advantages to older generations. As we approach election day, it seems likely that the government will further try to mobilize support from this group of voters
The United Right’s Second Term: Tax and Benefit Reforms During High Inflation
In recent years, Polish households has, apart from two major crises (the Covid-19 pandemic and the complex consequences from the Russian invasion of Ukraine), faced one of the greatest price increases in the EU. During the closing term of Parliament, from January 2020 to July 2023, prices increased by 35.6 percent and have continued to grow at a rate significantly exceeding the inflation target set by the National Bank of Poland (2.5 percent +/- 1 percentage point per year). By the end of 2023 the combined inflation rate will reach 38.7 percent. Although average wages have also been rising (nominally by 41.7 percent from January 2023 to July 2023), wage growth has not kept up with the inflation for many workers. One needs to also bear in mind that a significant proportion of Polish households rely on income from transfers and state support. At the same time households’ material conditions have deteriorated as a result of a significant reduction in the real value of their savings.
In 2022 and 2023 the government introduced a number of temporary policies designed specifically to assist households facing higher energy and food prices. Throughout the final term in office, it also adopted several reforms which – as we show below – affected some groups more than others, reflecting a clear policy preference:
a) in January 2020 and May 2022 respectively, the government legislated an additional level of support addressed to retirees and disability pensioners. These so-called 13th and 14th pensions have raised the minimum level of pension benefits.
b) in January 2022 the government implemented a major overhaul of the income tax system (the so-called Polish Deal) which significantly influenced the tax burden on most taxpayers, strongly benefitting pension recipients.
c) throughout the term of Parliament, the government has kept the values of most social benefits frozen at their nominal level. This includes its flagship program – the universal 500+ parental benefit (500 PLN, roughly 110 EUR per child per month), introduced in 2016 – as well as means tested family benefits directed to poorer families with children. As a result, both the values as well as eligibility thresholds has fallen by nearly 40 percent.
The implications of these three policy areas are reported in Table 1 for the 2019-2023 term of Parliament and contrasted with benefits and costs from government policies implemented in the first term of Parliament (2015-2019). The results have been calculated using the SIMPL microsimulation model and are based on a representative sample of over 30 000 Polish households from the 2021 Household Budget Survey (for methodological details see Myck et al., 2015; 2023c). The applied method allows for singling out policy effects from other factors affecting household incomes.
Table 1 shows a clear difference in focus; from substantial benefits directed at families with children in 2015-2019 to policies targeted at pensioners, partly at the cost of families with children, in the second term. It is also worth noting that while government policy continued to increase household incomes, the resulting gains in disposable incomes in the second term have been much more modest.
Table 1. The impact of modelled policies in the tax and benefit system on household income in the two terms of the United Right’s government.
The contrast is also visible when the totals from Table 1 are divided and allocated to specific family types, as presented in Figure 1. On average lone parent families gained about 800 PLN (170 EUR) per month as a result of policies implemented in the 2015-2019 term, while they lost 160 PLN (35 EUR) in the second term. Married couples with children gained 950 PLN (205 EUR) and lost 259 PLN (55 EUR) in each term, respectively. In contrast to this, gains of pensioner families were modest during the first term, while the policies implemented in the second term imply gains of about 310 PLN (70 EUR) per month for single pensioners and 630 PLN (140 EUR) per month to pensioner couples. Gains and losses by family type resulting from policies implemented between 2019-2023 are shown in more detail in Figure 2. Over 85 percent of single pensioners have seen gains of more than 200 PLN (45 EUR) per month, and a similar proportion of pensioner couples gained over 400 PLN (90 EUR) per month. At the same time the majority of families with children, both among lone parent families and married couples, principally as a result of benefit freezes, saw their incomes fall in real terms. The values of the universal 500+ parental benefit will be indexed in January 2024, and the government has made this indexation an important element of the campaign. However, the indexation will not compensate the losses that families experienced in the last four years, a period with high inflation. It remains to be seen if a promise of higher transfers in the future will translate into political support, as seen in the 2019 elections (Gromadzki et al. 2022).
Figure 1. The impact of modelled policies in the tax and benefit system on household income in the two terms of the United Right’s government, by family types.
Figure 2. Ranges of monthly benefits and losses resulting from the modelled policies introduced in the United Right government’s second term of office (2019-2023), by family type.
Timing and Other Tricks: Securing the Votes of Older Generations
The so-called 13th and 14th pensions are paid once per year, in May and September respectively, to recipients of public pensions, at a value equivalent to a monthly minimum pension (approximately 360 EUR). While the first is a universal benefit, the latter has a withdrawal threshold and is thus targeted at lower income pensioners. In 2023 the government decided to increase the value of the 14th pension to about 580 EUR, with the benefits paid out to pensioners in September, the month before the election. This additional bonus came at the cost of about 7 billion PLN (1.6 billion EUR) – a budget which could have paid for two years of indexation of benefits targeted at low-income families with children or financed the payment of the indexed value of the universal 500+ parental benefit for nearly four months. The decision completes the picture of a clear preference for the older generation in regard to social policy in recent years and suggests a clear focus on this group of voters prior to the upcoming election.
The government has also taken a number of steps to facilitate electoral participation among voters in smaller communities by increasing the number of polling stations and making it obligatory for local administrations to finance transportation for older individuals with mobility limitations. The government is also mobilizing voters in smaller communities with turn-out competition initiatives. Additionally, some commentators have pointed out that the choice of election day – one day ahead of the so-called ‘Papal day’, devoted to the memory of John Paul II – is also non-accidental.
Conclusion
The analysis presented in the recent CenEA Preelection Commentaries and summarized in this brief indicates that in the area of reforms directly affecting household incomes, pensioners are the social group that benefited most from the United Right’s government policies in the 2019-2023 term of office. This is evident both from policies that have become a permanent feature of the Polish tax and benefit system, as well as from various one-off decisions. Taking into account other policies surrounding the approaching parliamentary election, it seems clear that the government is strongly counting on the support of older generations of voters on October 15th. As election day is approaching it becomes more and more evident though, that securing their vote may not suffice to win a third term in office. Numerous policy and corruption scandals, a significant departure from judicial independence and an extreme degree of governing party dominance in public media have come to the fore of public debate ahead of the vote. According to recent polls the final outcome is still uncertain and even small shifts in support might swing the future parliamentary majority. According to Gromadzki et al. (2022), financial support directed to families with children was a key factor for securing a second term in office for the United Right coalition four years ago. It remains to be seen if the policy focus on older voters pays off in the same way on October 15th.
Acknowledgement
The authors wish to acknowledge the support of the Swedish International Development Cooperation Agency (Sida) under the FROGEE and FROMDEE projects. FREE Policy Briefs contribute to the discussion on socio-economic development in the Central and Eastern Europe. For more information, please visit www.freepolicybriefs.com.
References
- Gromadzki, J., Sałach, K., Brzezinski, M. (2022). When Populists Deliver on their Promises: the Electoral Effects of a Large Cash Transfer Program in Poland. http://dx.doi.org/10.2139/ssrn.4013558
- Myck, M., Król, A, Oczkowska, M., Trzciński, K. (2023a). Druga kadencja rządów Zjednoczonej Prawicy: wsparcie rodzin z dziećmi w czasach wysokiej inflacji [The second term of the United Right’s rule: support to families with children in times of high inflation]. CenEA Preelection Commentary 13.09.2023. https://cenea.org.pl/2023/09/13/wybory-parlamentarne-2023-w-polsce-komentarze-przedwyborcze-cenea/
- Myck, M., Król, A, Oczkowska, M., Trzciński, K. (2023b). Druga kadencja rządów Zjednoczonej Prawicy: kto zyskał, a kto stracił? [The second term of the United Right’s rule: who gained and who lost?] CenEA Preelection Commentary, 14.09.2023. https://cenea.org.pl/2023/09/13/wybory-parlamentarne-2023-w-polsce-komentarze-przedwyborcze-cenea/
- Myck, M., Król, A, Oczkowska, M., Trzciński, K. (2023c). Materiały metodyczne [Methodology volume]. https://cenea.org.pl/2023/09/13/wybory-parlamentarne-2023-w-polsce-komentarze-przedwyborcze-cenea/
- Myck, M., Kundera, M., Najsztub, M., Oczkowska, M. (2015). Dwie kadencje w polityce podatkowo-świadczeniowej: programy wyborcze i ich realizacja w latach 2007-2015. IV Raport Przedwyborczy CenEA. (Two terms of the tax-benefit policies: electoral promises and their realization in years 2007-2015. IV CenEA Preelection Report.) https://cenea.org.pl/pl/2015/09/03/dwie-kadencje-w-polityce-podatkowoswiadczeniowej-programy-wyborcze-i-ich-realizacja-w-latach-2007-2015/
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
What Can We Learn from Regional Patterns of Mortality During the Covid-19 Pandemic?
Given the nature of the spread of the virus, strong regional patterns in fatal consequences of the Covid-19 pandemic are to be expected. This brief summarizes a detailed examination of the spatial correlation of deaths in the first year of the pandemic in two neighboring countries – Germany and Poland. Among high income European countries, these two seem particularly different in terms of the death toll associated with the pandemic, with many more excess deaths recorded in Poland as compared to Germany. Detailed spatial analysis of deaths at the regional level shows a consistent spatial pattern in deaths officially registered as related to Covid-19 in both countries. For excess deaths, however, we find a strong spatial correlation in Germany but little such evidence in Poland. These findings point towards important failures or neglect in the areas of healthcare and public health in Poland, which resulted in a massive loss of life.
Introduction
While almost all European countries currently refrain from imposing any Covid-19 related restrictions, the pandemic still takes a huge economic, health and social toll across societies worldwide. The regional variation of incidence and different consequences of the pandemic, observed over time, should be examined to draw lessons for ongoing challenges and future pandemics. This brief outlines a recently published paper by Myck et al. (2023) in which we take a closer look at two neighboring countries, Germany and Poland. Within the pool of high-income countries, these are particularly different in terms of the death toll associated with the Covid-19 pandemic. In 2020 in Poland, the excess deaths rate (with reference to the 2016-2019 average) was as high as 194 per 100,000 inhabitants, over 3 times higher than the 62 deaths per 100,000 inhabitants in Germany (EUROSTAT, 2022a, 2022b). While, in relative terms, the death toll officially registered as resulting from Covid-19 infections in 2020 was also higher in Poland than in Germany, the difference was considerably lower (about 75 vs 61 deaths per 100,000 inhabitants, respectively) (Ministry of Health, 2022; RKI, 2021). Population-wise Germany is 2.2 times larger than Poland and, before the pandemic struck, the countries differed also in other relevant dimensions related to the socio-demographic structure of the population, healthcare and public health. The nature of Covid-19 and the high degree of regional variation between and within the two countries along some crucial dimensions thus make Germany and Poland an interesting international case for comparison of the pandemic’s consequences. We show that the differences in the spatial pattern of deaths between Germany and Poland may provide valuable insight to the reasons behind the dramatic differences in the aggregate numbers of fatalities (Myck et al., 2023).
Regional Variation in Pandemic-Related Mortality and Pre-Pandemic Characteristics
We examine three measures of mortality in the first year of the Covid-19 pandemic in 401 German and 380 Polish counties (Kreise and powiats, respectively): the officially recorded Covid-19 deaths, the total numbers of excessive deaths (measured as the difference in the number of total deaths in year 2020 and the 2015-2019 average) and the difference between the two measures. Figure 1 shows the regional distribution of these three measures calculated per 1000 county inhabitants. All examined indicators were generally much higher in Poland as compared to Germany. In Poland, deaths officially registered as caused by Covid-19 were concentrated in the central and south-eastern regions (łódzkie and lubelskie voivodeships), while in Germany they were concentrated in the east and the south (Sachsen and Bayern). Excess mortality was predominantly high in German regions with high numbers of Covid-19 deaths, but also in nearby regions. As a result, these same regions also show greater differences between excessive deaths and Covid-19 deaths. On the contrary, high excessive deaths can be noted throughout Poland, including the regions where the number of Covid-19 deaths were lower. In the case of Poland, spatial clusters are much less obvious for both excess deaths and the difference between excess and Covid-19 deaths. To further explore the degree of regional variation between and within countries with respect to the mortality outcomes, we link them to regional characteristics such as population, healthcare and economic conditions, which might be relevant for both the spread of the virus and the risk of death from Covid-19. In Figure 2 we illustrate the scope of regional disparities with examples of (a) age structure of the population, (b) the pattern of economic activity and (c) distribution of healthcare facilities in years prior to the pandemic.
Figure 1. Regional variation of death incidence in 2020: Germany and Poland.
Figure 2. Pre-pandemic regional variation of socio-economic indicators: Germany and Poland.
Shares of older population groups (aged 85+ years) are clearly substantially higher in Germany compared to Poland, and within both countries these shares are higher in the eastern regions. On the other hand, the proportion of labor force employed in agriculture is significantly higher in Poland and heavily concentrated in the eastern parts of the country. In Germany, this share is much lower and more evenly spread. This indicator illustrates that socio-economic conditions in 2020 were still substantially different between the two countries. The share of employed in agriculture is also important from the point of view of pandemic risks – it reflects lower levels of education, and specific working conditions that make it challenging to work remotely yet entail less personal contact and more outdoor labor. The distribution of hospital beds reflects the urban/rural divide in both countries. It is also a good proxy for detailing the differences in the overall quality of healthcare between the two countries, i.e. displaying significantly better healthcare infrastructure in German counties.
Uncovering the Spatial Nature of Excess Deaths in Germany and Poland
While spatial similarities among regions are present along many dimensions, they are particularly important when discussing such phenomena as pandemics, when infection spread affects nearby regions more than distant ones. With regard to the spatial nature of excess deaths in the first year of the pandemic, a natural hypothesis is thus that the pattern of these deaths should reflect the nature of contagion. This applies primarily to excess deaths directly caused by the pandemic (deaths resulting from infection with the virus). At the same time, some indirect consequences of Covid-19 such as limitations on the availability of hospital places and medical procedures, or lack of medical personnel to treat patients not affected by Covid-19, are also expected to be greater in regions with a higher incidence of Covid-19. On the other hand, spatial patterns are much less obvious in cases where excess deaths would result, for example, from externally or self-imposed restrictions such as access to primary health care, reduced contact with other people, diminished family support, or mental health problems due to isolation. While these should also be regarded as indirect consequences of the pandemic, as they would arguably not have realized in its absence, these consequences do not necessarily relate to the actual spread of the virus. Our in-depth analysis of the spatial distribution of the three examined mortality-related measures, therefore, allows us to make a crucial distinction in possible explanations for the dramatic differences in the observed death toll in the first year of the pandemic in Germany and Poland. We explore the degree of spatial correlation in the three mortality outcomes using multivariate spatial autoregressive models, controlling for a number of local characteristics (for more details see Myck et al., 2023).
We find that in Germany, all mortality measures show very strong spatial correlation. In Poland, we also confirm statistically significant spatial correlation of Covid-19 deaths. However, we find no evidence for such spatial pattern either in the total excess deaths or in the difference between excess deaths and Covid-19 deaths. In other words, in Poland, the deaths over and above the official Covid-19 deaths do not reflect the features to be expected during a pandemic. As the results of the spatial analysis show, these findings cannot be explained by the regional pre-pandemic characteristics but require alternative explanations. This suggests that a high proportion of deaths results from a combination of policy deficits and individual reactions to the pandemic in Poland. Firstly, during the pandemic, individuals in Poland may have principally withdrawn from various healthcare interventions as a result of fear of infection. Secondly, those with serious health conditions unrelated to the pandemic may have received insufficient care during the Covid-19 crisis in Poland, and, as a consequence, died prematurely. This may have been a result of lower effectiveness of online medical consultations, excessive limitations to hospital admissions – unjustified from the point of view of the spread of the virus, and/or worsened access to healthcare services as a result of country-wide lockdowns and mobility limitations. The deaths could also have resulted from reduced direct contact with other people (including family and friends as well as care personnel) and mental health deterioration as a consequence of (self)isolation. Our analysis does not allow us to differentiate between these hypotheses, but the aggregate excess deaths data suggests that a combination of the above reasons came at a massive cost in terms of loss of lives. The consequences reflect a very particular type of healthcare policy failure or policy neglect in the first year of the pandemic in Poland.
Our study also shows that a detailed analysis of country differences concerning the consequences of the ongoing pandemic can serve as a platform to set and test hypotheses about the effectiveness of policy responses to better tackle future global health crises.
Acknowledgement
The authors wish to acknowledge the support of the German Research Foundation (DFG, project no: BR 38.6816-1) and the Polish National Science Centre (NCN, project no: 2018/31/G/HS4/01511) in the joint international Beethoven Classic 3 funding scheme – project AGE-WELL. For the full list of acknowledgements see Myck et al. (2023).
References
- EUROSTAT. (2022a). Excess mortality—Statistics.
- EUROSTAT. (2022b). Mortality and life expectancy statistics.
- Ministry of Health. (2022). Death statistics due to COVID-19 in 2020.
- Myck, M., Oczkowska, M., Garten, C., Król, A., & Brandt, M. (2023). Deaths during the first year of the COVID-19 pandemic: Insights from regional patterns in Germany and Poland. BMC Public Health, 23(1), 177.
- RKI. (2021). SARS-CoV-2 Infektionen in Deutschland. 2.6.2021 (Version 2022-02-07) [Data set]. Zenodo.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Understanding the Economic and Social Context of Gender-based and Domestic Violence in Central and Eastern Europe – Preliminary Survey Evidence
This brief presents preliminary findings from a cross-country survey on perceptions and prevalence of domestic and gender-based violence conducted in September 2021 in eight countries: Armenia, Belarus, Georgia, Latvia, Poland, Russia, Sweden and Ukraine. We discuss the design and content of the study and present initial information on selected topics that were covered in the survey. The collected data has been used in three studies presented at the FROGEE Conference on “Economic and Social Context of Domestic Violence” and offers a unique resource to study gender-based violence in the region.
While the COVID-19 pandemic has amplified the academic and policy interest in the causes and consequences of domestic violence, the Russian invasion of Ukraine has tragically reminded us about the gender dimension of war. There is no doubt that a gender lens is a necessary perspective to understand and appreciate the full consequences of these two ongoing crises.
The tragic reason behind the increased attention given to domestic violence during the COVID-19 lockdowns is the substantial evidence that gender-based violence has intensified to such an extent that the United Nations raised the alarm about a “shadow pandemic” of violence against women and girls (UN Women on-line link). Already before the pandemic, one in three women worldwide had experienced physical or sexual violence, usually at the hands of an intimate partner, and this number has only been increasing. The tragic reports from the military invasion of Ukraine concerning violence against women and children, as well as information on the heightened risks faced by war refugees from Ukraine, most of whom are women, should only intensify our efforts to better understand the background behind these processes and study the potential policy solutions to limit them to a minimum in the current and future crises.
The most direct consequences of gender-based and domestic violence – to the physical and mental health of the victims – are clearly of the highest concern and are the leading arguments in favour of interventions aimed at limiting the scale of violence. One should remember though, that the consequences and the related social costs of gender-based and domestic violence are far broader, and need not be caused by direct acts of physical violence. Gender-based and domestic violence can take the form of psychological pressure, limits on individual freedoms, or access to financial resources within households. As research in recent decades demonstrates, such forms of abuse also have significant consequences for the psychological well-being, social status, and professional development of its victims. All these outcomes are associated with not only high individual costs, but also with substantial social and economic costs to our societies.
This policy brief presents an outline of a survey conducted in eight countries aimed at better understanding the socio-economic context of gender-based violence. The survey, developed by the FREE Network of independent research institutes, has a regional focus on Central and Eastern Europe, with Sweden being an interesting benchmark country. The data was collected in September 2021 in Armenia, Belarus, Georgia, Latvia, Poland, Russia, Sweden and Ukraine. The socio-economic situation of all these countries irrevocably changed with the Russian invasion of Ukraine on 24 February 2022, the ongoing war, and its dramatic consequences. The world’s attention focused on the unspeakable violence committed by the Russian forces in Ukraine, the persecution in Belarus and Russia of their own citizens who were protesting against the invasion, and the challenges other neighbouring countries have faced as a result of an unprecedented wave of Ukrainian refugees. This change, on the one hand, calls for a certain distance with which we should judge the survey data and the derived results. On the other hand, the data may serve as a unique resource to support the analysis of the pre-war conditions in these countries with the aim to understand the background driving forces behind this dramatic crisis. In as much as the gender lens is necessary to comprehend the full scale of the consequences of both the COVID-19 pandemic and the war in Ukraine, it will be equally indispensable in the process of post-war development and reconciliation once peace is again restored.
Survey Design, Countries, and Samples
The survey was conducted in eight countries in September 2021 through as a telephone (CATI) survey using the list assisted random digit dialling (LA-RDD) method covering both cell phones and land-lines, and the sampling was carried out in such a way as to make the final sample representative of the respective populations by gender and three age group (18-39; 40-54; 55+). The collected samples varied from 925 to 1000 individuals. The same questionnaire initially prepared as a generic English version was fielded in all eight countries (in the respective national languages). The only deviations from the generic version were related to the education categories and to a set of final questions implemented in Latvia, Russia and Ukraine with a focus on the evaluation of national IPV legislation.
Table 1 presents some basic sample statistics, while Figure 1 shows the unweighted age and gender compositions in each country. The proportion of women in the sample varies between 49.4% in Sweden and 55.0% in Belarus, Russia and Ukraine. The average sample age is between 43 (Armenia) and 51 (Sweden), while the proportion of individuals with higher education is between 29.3% in Belarus and 55.4% in Georgia. The highest proportion of respondents living in rural areas could be found in Armenia at 62.9%, while the lowest was in Georgia at 24.1%. Figure 1 illustrates good coverage across age groups for both men and women.
Table 1. FROGEE Survey: samples and basic demographics
Figure 1. FROGEE Survey: gender and age distributions
Socio-economic Conditions and Other Background Characteristics
To be able to examine the relationship between different aspects of domestic and gender-based violence to the socio-economic characteristics of the respondents, an extensive set of questions concerning the demographic composition of their household and their material conditions were asked at the beginning of the interview. These questions included information about partnership history and family structure, the size of the household and living conditions, education and labour market status (of the respondent and his/her partner) and general questions concerning material wellbeing. In Figure 2 we show a summary of two of the latter set of questions – the proportion of men and women who find it difficult or very difficult to make ends meet (Figure 2A) and the proportion who declared that the financial situation of their household deteriorated in the last two years, i.e. since September 2019, which can be used as an indicator of the material consequences of the COVID-19 pandemic. We can see that the difficulties in making ends meet are by far lowest in Sweden, and slightly lower in the other EU countries (Latvia and Poland). The differences are less pronounced with regard to the implication of the pandemic, but also in this case respondents in Sweden seem to have been least affected.
Figure 2. Making ends meet and the consequences of COVID-19
a. Difficulties in making ends meet
b. Material conditions deteriorated since 2019
Perceptions and Incidence of Domestic and Gender-Based Violence and Abuse
Frequency of differential treatment and abuse
The set of questions concerning domestic and gender-based violence started with an initial module related to the different treatment of men and women, with respondents asked to identify how often they witnessed certain behaviours aimed toward women. The questions covered aspects such as women being treated “with less courtesy than men”, being “called names or insulted for being a woman” and women being “the target of jokes of sexual nature” or receiving “unwanted sexual advances from a man she doesn’t know”, and the respondents were to evaluate if in the last year they have witnessed such behaviours on a scale from never, through rarely, sometimes, often, to very often. We present the proportion of respondents answering “often” or “very often” to two of these questions in Figure 3A (“People have acted as if they think women are not smart”) and 3B (“A woman has been the target of jokes of a sexual nature”). We find significant variation across these two dimensions of differential treatment, and we generally find that women are more sensitive to perceiving such treatment. It is interesting to note that the proportion of women who declared witnessing differential treatment in Sweden is very high in comparison to for example Latvia or Belarus, which, as we shall see below, does not correspond to the proportion of women (and men) witnessing more violent types of behaviour against women.
Figure 3. Frequency of differential treatment (often or very often)
a. People have acted as if they think women are not smart
b. A woman has been the target of jokes of a sexual nature
Questions on the frequency of witnessing physical abuse were also asked in relation to the scale of witnessed behaviour. Here respondents were once again asked to say how often “in their day-to-day life” they have witnessed specific behaviours. These included such types of abuse as: a woman being “threatened by a man”, “slapped, hit or punched by a man”, or “sexually abused or assaulted by a man”. The proportion of respondents who say that they have witnessed such behaviour with respect to two of the questions from this section are presented in Figure 4. In Figure 4A we show the proportion of men and women who have witnessed a woman being “slapped, hit or punched” (sometimes, often or very often), while in Figure 4B being “touched inappropriately without her consent”. Relative to the perceptions of differential treatment the incidence of a woman being hit or punched (4A) declared by the respondents seems more intuitive when considered against the overall international statistics of gender equality. The proportions are lowest in Sweden and Poland, and highest in Armenia and Ukraine. However, the perception of inappropriate touching by men with respect to women (Figure 4B) shows a similar extent of such actions across all analysed countries.
Figure 4. Frequency of abuse (sometimes, often or very often)
a. A woman has been slapped, hit or punched by a man
b. A woman has been touched inappropriately, without her consent, by a man
Perceptions of abuse
The questions concerning the scale of witnessed behaviours were complemented by a module related to the evaluation of certain behaviours from the perspective of their classification as abuse and the degree to which certain types of gender-specific behaviours are acceptable. Thus, for example respondents were asked if they consider “beating (one’s partner) causing severe physical harm” to be an example of abuse within a couple (Figure 5A) or if “prohibition to dress as one likes” represents abuse (Figure 5B). This module included an extensive list of behaviours, such as “forced abortion”, “constant humiliation, criticism”, “restriction of access to financial resources”, etc. As we can see in Figure 6, with respect to the clearest types of abuse – such as physical violence – respondents in all countries were pretty much unanimous in declaring such behaviour to represent abuse. With respect to other behaviours the variation in their evaluation across countries is much greater – for example, while nearly all men and women in Sweden consider prohibiting a partner to dress as he/she likes to be abusive (Figure 5B), only about 57% of women and 36% of men in Armenia share this view.
The questionnaire also included questions specifically focused on the perception of intimate partner violence. These asked respondents if they knew about women who in the last three months were “beaten, slapped or threatened physically by their intimate partner”, and the evaluation of how often intimate partners act physically violent towards their wives.
Figure 5. Perceptions of abuse: are these examples of abuse within a couple?
a. Beating causing severe physical harm
b. Prohibition to dress as one likes
A further evaluation of attitudes towards violent behaviour was done with respect to the relationship between a husband and wife and his right to hit or beat the wife in reaction to certain behaviours. In Figure 6 we show the distribution of responses regarding the justification for beating one’s wife in reaction to her neglect of the children (6A) or burning food (6B). The questions also covered such behaviour as arguing with her husband, going out without telling him, or refusing to have sex. As we can see in Figure 6, once again we find substantial country variation in the proportion of the samples – both men and women – who justify such violent behaviour within couples. This was particularly the case when respondents were asked about justification of violent behaviour in the case of a woman neglecting the children. In Armenia as many as 30% of men and 22% of women agree that physical beating is justified in those cases. These proportions are manyfold greater than what can be observed in countries such as Latvia, where 3% of men and women agreed that abuse was justifiable under these circumstances, or Sweden, where only 1% of men and women agreed.
Figure 6. Perceptions of abuse: is a husband justified in hitting or beating his wife
a. If she neglects the children
b. If she burns the food
Seeking help and the legal framework
The final part of the questionnaire focused on the evaluation of different reactions to incidents of domestic and gender-based violence. Respondents were first asked if a woman should seek help from various people and institutions if she is beaten by her partner – respondents were asked if she should seek help from the police, relatives or friends, a psychologist, a legal service or if, in such situations, she does not need help. In Figure 7 we show the proportion of people who agreed with the last statement, i.e. claimed that it is only the couple’s business. The proportions of respondents who declare such an attitude is higher among men than women within each country, and is highest among men in Armenia (48%) and Georgia (25%). Again, these proportions are in stark contrast to men in Sweden, or even Poland, where only 4% and 8% of men agreed, respectively. Nevertheless, looking at the total survey sample, a vast majority believe that a woman who is a victim of domestic violence should seek help outside of her home, indicating that at least some forms of institutionalised support for women are popular measures with most people.
Figure 7. Proportions agreeing that domestic violence is only the couple’s business
The interview also included questions on the need for specific legislation aimed at punishing intimate partner violence and on the existence of such legislation in the respondents’ countries. The latter questions were extended in three countries – Latvia, Russia and Ukraine – to evaluate the specific sets of regulations implemented recently in these countries and to facilitate an analysis of the role IPV legislation can play in reducing violence within households. Legislation on domestic violence is relatively recent. During the last four decades, though, changes accelerated in this respect around the world. Legislative measures have been introduced in many countries, covering different aspects of preventing, protecting against and prosecuting various forms of violence and abuse that might happen within the marriage or the family. Research strives to offer evaluations on what legal provisions are most effective, in a setting in which statistics and information are still far from perfect, and as a consequence of the dearth of strong evidence the public debate on the matter is often lively. For legislation to have an effect on behaviour through shaping the cost of committing a crime, on the one hand, and the benefit of reporting it or seeking help, on the other, or more indirectly through changing norms in society, information and awareness are key. For how can deterrence be achieved if people do not know what the sanctions are? And how can reporting be encouraged if victims do not know their rights? The evidence on legislation awareness is unfortunately quite scarce. A survey of the criminology field (Nagin, 2013) concludes that this is a major knowledge gap.
Figure 8 shows the proportions of answers to questions concerning the need for and existence of legislation specifically targeted towards intimate partner violence. We can see that while support for such legislation is quite high (Figure 8A), it is generally lower among men (in particular in Armenia, Russia and Belarus). Awareness of existence of such laws, on the other hand, is much lower, and it is particularly low among women. It should be pointed out that all countries have in fact implemented provisions against domestic violence in their criminal code, but only around half of the population, sometimes much fewer, are aware of that.
Figure 8. Need for and awareness of IPV legislation
a. State should have specific legislation aimed at punishing IPV
b. Country has specific legislation aimed at punishing intimate partner violence
Recent reforms of DV legislation that were implemented in Russia in 2017, in Ukraine in 2019 and in Latvia just a few months ago (at the time of the survey, the changes were at the stage of a proposal) were the subject of the final survey questions in these countries. We find that awareness of these recent reforms is very low in all three countries, and knowledge about the reform content (gauged with the help of a multiple-choice question with three alternative statements) is even lower. Our analysis suggests that gender and family situation are the two factors that most robustly predict support for legislation, while education and age are associated with awareness and knowledge of the reforms. Minority Russian speakers are less aware of the reforms in both Ukraine and Latvia, in Ukraine are also less likely to answer correctly about the content of the reform, and in Latvia are less supportive of DV legislation in general.
Analyses of this type are useful for policy design, to better understand which groups lack relevant knowledge and should be targeted by, for example, information campaigns to combat DV, such as those many governments around the world implemented during the covid-19 pandemic.
Future Work Based on the Survey
The above is just a small sample of the rich source of information that has resulted from conducting the survey. Already from this simple overview we can see some interesting results. There are, for example, clear differences between men and women in perceptions of how common certain types of abusive behaviour are. However, for many questions differences between countries are larger than those between men and women within a country. Interestingly such differences are also different depending on the severity of the abuse or violence. In Sweden the perception of women being victims of less violent abuse is higher than in some other countries where instead some more violent types of abuse are reported as being more common. This could, of course, be due to actual differences in actual events but it is also possible that there are differences in what types of behaviour are considered to represent harassment and abuse in different societies. More careful data work is needed to try to answer questions like this and many others. Currently there are a number of ongoing research projects based on the survey results, three of which will be presented at the FREE-network conference on “Economic and Social Context of Domestic Violence” in Stockholm on May 11, 2022. Our hope is that this work will help in taking actions to prevent gender-based abuse and domestic violence based on a better understanding of underlying cross-country differences in social norms and attitudes and their relation to socio-economic factors.
About FROGEE Policy Briefs
FROGEE Policy Briefs is a special series aimed at providing overviews and the popularization of economic research related to gender equality issues. Debates around policies related to gender equality are often highly politicized. We believe that using arguments derived from the most up to date research-based knowledge would help us build a more fruitful discussion of policy proposals and in the end achieve better outcomes.
The aim of the briefs is to improve the understanding of research-based arguments and their implications, by covering the key theories and the most important findings in areas of special interest to the current debate. The briefs start with short general overviews of a given theme, which are followed by a presentation of country-specific contexts, specific policy challenges, implemented reforms and a discussion of other policy options.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.