Tag: pensions

Widowhood in Poland: Reforming the Financial Support System

Image representing a woman and a young girl emphasizing the bond between the mother and child representing 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.

Source: Own calculations based on HBS 2021 using SIMPL model; graphs were created using: https://flourish.studio/

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.

Source: Own calculations based on HBS 2021 using the SIMPL model. Notes: Change in the disposable income with respect to the current system with survivor’s pension. 1PLN~0.23EUR.

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

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

20240423 Widowhood in Poland Image 02

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.

Source: Adena et al. (2023). Notes: The control group consisted of women from statistical “twin” marriages with an identical distribution of selected characteristics; Figure 1b) Risk of depression defined as 4 or more depression symptoms according to the EURO-D scale. For methodological details see Adena et al. (2023).

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.

Source: Own compilation based on: a) HBS; b) Eurostat. Notes: a) Widows and widowers aged 65+ living in one-person households; married couples living in two-person households with at least one spouse aged 65+; b) Eurostat data does not allow for division by gender or marital status. In two-person households both persons are adults, at least one is aged 65+. At-risk-of-poverty rate is defined as 60 percent of the median equivalized income of the entire population.

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.

Source: Own compilation based on HBS. Notes: Widows and widowers aged 65+ living in one-person households. Married couples in two-person households with at least one spouse aged 65+.

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.

Source: Own calculations based on HBS 2021 using the SIMPL model. Notes: The baseline system for calculating the equivalised income thresholds was the January 2024 system; the thresholds for the income decile groups were calculated on the basis of a full sample of households.

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+

Source: Own compilation based on HBS 2021. Notes: Both spouses aged 65 and over; gross monthly retirement pensions; in less than 1 percent of the marriages at least one spouse received a retirement pension higher than 10000 PLN (not included in the Figure). 1PLN~0.23EUR.

We treat the sample of married couples aged 65 years or more as a reference sample in our analysis of 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 analysed sample after a 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.

Source: Own calculations based on HBS 2021 using SIMPL model; graphs were created using: https://flourish.studio/

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.

Source: Own calculations based on HBS 2021 using the SIMPL model. Notes: The at-risk-of-poverty threshold is set at 60 percent of median equivalised disposable income in the baseline system.

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.

Source: Own calculations based on HBS 2021 using the SIMPL model. Notes: Change in the disposable income with respect to the current system with survivor’s pension. 1PLN~0.23EUR.

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.

Source: Own calculations based on HBS 2021 using the SIMPL model. Notes: Change in the disposable income with respect to the current system with survivor’s pension. 1PLN~0.23EUR.

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.

Source: Own calculations based on HBS 2021 using the SIMPL model. Notes: Change in the disposable income with respect to the current system with survivor’s pension. 1PLN~0.23EUR. Assignment to the income group was done prior to the hypothetical death of husbands.

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

  • Adena, M., Hamermesh, D., Myck, M., & Oczkowska, M. (2023). Home Alone: Widows’ Well-Being and Time. Journal of Happiness Studies. https://doi.org/10.1007/s10902-023-00622-w
  • Ahn, N. (2005). Financial consequences of widowhood in Europe: Cross-country and gender differences.
  • Bíró, A. (2013). Adverse effects of widowhood in Europe. Advances in Life Course Research, 18(1), 68–82. https://doi.org/10.1016/j.alcr.2012.10.005
  • 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. https://doi.org/10.1016/j.jad.2018.11.088
  • Bound, J., Duncan, G. J., Laren, D. S., & Oleinick, L. (1991). Poverty Dynamics in Widowhood. Journal of Gerontology, 46(3), S115–S124. https://doi.org/10.1093/geronj/46.3.S115
  • Corden, A., Hirst, M., Nice, K., University of York, & Social Policy Research Unit. (2008). Financial implications of death of a partner. Social Policy Research Unit, University of York.
  • Hungerford, T. L. (2001). The Economic Consequences of Widowhood on Elderly Women in the United States and Germany. The Gerontologist, 41(1), 103–110. https://doi.org/10.1093/geront/41.1.103
  • 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. https://doi.org/10.1093/geronb/56.1.S56
  • 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
  • Myck, M., Najsztub, M., Oczkowska, M., & Trzciński, K. (2019). Pakiet podatkowo-świadczeniowych rozwiązań rządu Zjednoczonej Prawicy. Raport Przedwyborczy CenEA 12/04/2019. https://cenea.org.pl/wp-content/uploads/2019/05/raportcenea12042019.pdf
  • Ory, B., & Huijts, T. (2015). Widowhood and Well-being in Europe: The Role of National and Regional Context. Journal of Marriage and Family, 77(3), 730–746. https://doi.org/10.1111/jomf.12187
  • Panek, T., Kotowska, I., & Sączewska-Piotrowska, A. (2015). Sytuacja materialna gospodarstw domowych osób starszych. W Rynek pracy i wykluczenie społeczne w kontekście percepcji Polaków. Diagnoza Społeczna 2015. Raport tematyczny. (s. 107–137).
  • Petelczyc, J., & Roicka, P. (2016). Sytuacja kobiet w systemie emerytalnym. Instytut Spraw Publicznych. https://www.isp.org.pl/pl/publikacje/sytuacja-kobiet-w-systemie-emerytalnym
  • Sasson, I., & Umberson, D. J. (2014). Widowhood and Depression: New Light on Gender Differences, Selection, and Psychological Adjustment. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 69B(1), 135–145. https://doi.org/10.1093/geronb/gbt058
  • Schaan, B. (2013). Widowhood and Depression Among Older Europeans—The Role of Gender, Caregiving, Marital Quality, and Regional Context. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 68(3), 431–442. https://doi.org/10.1093/geronb/gbt015
  • Siflinger, B. (2017). The Effect of Widowhood on Mental Health—An Analysis of Anticipation Patterns Surrounding the Death of a Spouse. Health Economics, 26(12), 1505–1523. https://doi.org/10.1002/hec.3443
  • 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. https://doi.org/10.1073/pnas.1219686110
  • Timoszuk, S. (2017). Wdowieństwo a sytuacja materialna kobiet w starszym wieku w Polsce. Studia Demograficzne, nr 2(172), 121–138. http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ekon-element-000171500466
  • Timoszuk, S. (2021). Wdowieństwo w starszym wieku. O sytuacji finansowej wdów w Polsce.

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.

Individual Retirement Timing in Russia: Implications for Pension Age

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This policy brief summarizes the findings in a paper where individual exit trajectories of Russians from the labor market to economic inactivity are examined using survival analysis methods based on the Russian Longitudinal Monitoring Survey for 1995-2015. Among other results, the analysis shows that the statutory retirement age has a significant impact on the time of exit from the labor market for both men and women, but the effect is very high for women. This is an interesting and unexpected result, given no penalty for working beyond the pension age of those already retired, the five-year difference in statutory retirement age between males and females, and the low pension age in Russia on an international scale. This questions the painlessness of rising the retirement age for women, should the decision finally be taken.

An ageing population, combined with a slowdown in economic growth, challenges the Russian public finances with an increased deficit of the Pension fund. In addition, the persistently negative natural population growth against the backdrop of ageing has predetermined a decline in the working-age population in the foreseeable future. Older cohorts are therefore becoming a potentially attractive source to increase the size of the labor force. All this has actualized the discussion about the need to increase the Russian retirement age (see, for instance, Maleva and Sinyavskaya, 2010). However, little is known about the labor market situation of older age groups and, in particular, about the process of their exit from the labor market

The Russian pension system, unlike the pension systems of many developed countries, hardly penalizes continuation of work after reaching retirement age and documenting a pension (working pensioners lose only pension indexation). The changes in pension law that have entered into effect since 2015 encourage continued work without recourse to retirement, but there have been few responses to the innovation so far. Coupled with the low pension replacement rate (i.e., the proportion of wages substituted by pension), this makes the process of leaving the labor market nontrivial, since a large number of people of retirement age remain on the labor market after reaching retirement age.

Denisova (2017) examines individual exit trajectories of Russians from the labor market to pension-age economic inactivity applying survival analysis to the Russian Longitudinal Monitoring Survey (RLMS-HSE). The major research questions are the following: What determines the length of stay of older age groups in the Russian labor market? What is the role of the statutory retirement age in this process?

Data and research methodology

The RLMS-HSE for the period of over 20 years, from 1995 to 2015, is the empirical basis of the research (http://www.cpc.unc.edu/rlms). I limit the sample to age 45-72 as there is practically no retirement by age before age 45, and 72 years is the upper boundary of the working age definition internationally accepted by statisticians. I exclude from the sample those who are on retirement and did not work or seek work for the entire period of observation, since their decision to end working activity remained outside the observation period.

An episode in the survival analysis of exit from the labor market into pension-age inactivity is an episode of working life. The analytical time in this case is the age of the respondent. The failure event (the moment of exit from the labor market to pension-age economic inactivity) is defined by the simultaneous fulfillment of three conditions: the respondent does not work, does not look for a job, and receives retirement pension. Only the final exits from the labor market into inactivity are considered, while temporary exits are disregarded.

I evaluate proportional hazard models, which suggest that exogenous economic factors shift the baseline hazard function (which reflects the average entire sample hazard rate at each age) proportionally. A semi-parametric Cox model specification with robust errors clustered at individual level is used.

The vector of explanatory characteristics includes education; marital status; experience in the labor market (work at an enterprise with a state share; entrepreneurship versus work for wages); health characteristics (subjective and objective); settlement type; and attainment of statutory retirement age. In all cases, I control for the year of the survey.

Given the differences in the behavior of men and women in the labor market, the regression analysis is run separately for the subsamples of men and women. The statistical significance of the differences in returns to factors between men and women is tested based on the results of the full sample regression with interaction terms.

Averaged process of exit from the labor market

The averaged process of leaving the labor market pending on age is conveniently described through so-called Kaplan-Mayer’s survival function (an estimate of the survival process). As seen from Figure 1, the process of exit prior to age 55 for women and 60 for men is very slow, while the rate of exit becomes almost permanent and slows down after 70 years. Men stay in the labor market longer: 25% of women leave the labor market at the age of 58 years, whereas for men this age is 60. The threshold of 75% of the sample that left the labor market is reached in the sample of women by the age of 70, and 71 for men.

Determinants of exit

The analysis of older cohorts’ exit from the labor market via survival methods confirms important determinants of the process, previously identified in literature. The impacts of health and of financial incentives are in this group of results.

Figure 1. Survival functions, men and women

Source: Author’s calculations based on RLMS-HSE 1995-2015 data

Health status is the key factor for men’s exit into inactivity: the exit to inactivity is accelerated by 71 percentage points for males with bad health, whereas for women this factor is statistically irrelevant.

A higher per capita household income is correlated with later exit from the labor market. A higher income from the main place of employment has no statistically significant effect when we control for household income and is at an extended boundary (15%) of statistical significance if we do not. Both variables indirectly reflect the pension replacement rate, and I interpret the results as an indirect confirmation that workers at the top part of the income distribution, being inadequately insured by the pension system, remain on the labor market longer.

The identified peculiarities of the exit to pension-age inactivity of the Russian elderly are of major interest. Unlike many developed countries, only highly skilled persons remain in the labor market longer than others, while the behavior of middle-skilled groups, and skilled and unskilled workers does not statistically differ between them.

Employment at state-owned enterprises slows down women’s exit to inactivity but is not significant for men. Self-employment and entrepreneurship prolong the presence in the labor force, by 41 percentage points for women.

The regression analysis demonstrates that the statutory retirement age has a significant impact on the time of exit from the labor market for both men and women, and the effect is significantly higher for women: the hazard rate of inactivity rises by 63 percentage points when a woman reaches 55 years, and by 25% when a man reaches 60. For men, an effect comparable in size is the self-assessment of health as poor.

Discussion

The results, on the one hand, confirm those for developed countries: health status is the key factor for men’s exit into inactivity, and financial motives have a significant impact. At the same time, the peculiarities of the Russian labor market are reflected in a differing labor market exit process of various professional groups, in the sense that self-employment and entrepreneurship and work at state enterprises postpone exit into inactivity. The high sensitivity of women to the statutory retirement age, which by 2.5 times exceeds the sensitivity of men, is one of the new and unexpected results, taking into account that the statutory retirement age for women in Russia is very low by international standards. This questions the painlessness of rising the retirement age for women, should the decision finally be taken. Indeed, given the very low pension age for females, an (gradual) increase in the retirement age for women would seem not to raise strong objections. However, our result testifies that the normative border of the retirement age has a decisive influence on women’s choice of time of exit from the labor market, even under control (as far as data permits) on differences in education, situation in the labor market and family circumstances. In this situation, the process of rising the retirement age, if such a decision is taken, can be rather painfully accepted by those who so strongly focus on its current meaning in their life plans.

References

  • Denisova, Irina, 2017, “Exit of senior age cohorts from the labor market: survival analysis approach” – forthcoming in Population and Economics.
  • Maleva T.M., Sinyavskaya O.V., 2010 “Raising the retirement age: pro et contra, Journal of the New Economic Association, No. 8, pp. 117-139.

Fiscal Redistribution in Belarus: What Works and What Doesn’t?

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Belarus proudly calls itself a social state. Indeed, Belarus boasts one of the lowest poverty and inequality levels in the region. Fiscal policy in Belarus is equalizing and pro-poor, effectively redistributing income from rich to poor. As in Russia and many other Post-Soviet states, the equalizing effect of the fiscal policy in Belarus is mostly attributable to the pension system. Some of the other social policies are highly inefficient, failing to redistribute income. The prominent examples are utility subsidies and student stipends, which mainly benefit the upper part of the income distribution. The lack of adequate unemployment benefits is an opportunity to improve the efficiency of the social support system in Belarus.

The Constitution of Belarus characterizes Belarus as a social state, and Belarus takes its social state status seriously. The economic growth in the beginning of the 2000’s was strongly pro-poor (Chubrik, 2007). Poverty according to the national definition (calorie-based poverty line, which in 2015 corresponded to $10.67 PPP per day) declined from 42% in 2000 to 5.7% in 2016, while the poverty according to the international threshold of $3.1 per day in PPP terms is fully eradicated. Belarus also has one of the lowest levels of income inequality in the region with a Gini coefficient of only 0.27 (UNDP, 2016).

How much of the pro-poor and equalizing effects could be attributed to the government policy? Probably it is impossible to give a complete answer to the question. Many non-formalized and not easily quantifiable government policies lead to the decrease in poverty and inequality. For example, the policy of support to state-owned enterprises might have redistributive effects through job creation. However, the absence of access to relevant data makes it impossible to estimate the effects of the policy.

Some of the government policies, on the other hand, are easily quantifiable with available data. Bornukova, Chubrik and Shymanovich (2017) analyze the redistributive effects of fiscal policies in Belarus using the Commitment to Equity methodology (Lustig, 2016). The authors find that the direct taxes and transfers in Belarus (taxes, transfers, and subsidies) are equalizing and pro-poor, lowering the national poverty headcount by 17 percentage points and the income Gini coefficient from 0.41 to 0.27. The high equalizing effect of the fiscal policies in Belarus surpasses those in other developing countries, including Russia where the direct taxes and subsidies reduced the income Gini coefficient by 0.13 (Lopez-Calva et al., 2017). The remaining discussion in this brief is based on the results from Bornukova, Chubrik and Shymanovich (2017), if not otherwise stated.

Fiscal policies and their redistributive effects

Taxation

The two types of direct personal taxes – the personal income tax and the social contributions tax – are both almost flat in Belarus. To fight tax evasion, the Belarusian authorities introduced flat tax rates in 2009, following a successful experiment in Russia. The personal income tax has some small exemptions for families with children, while the social contributions tax has a lower rate for agriculture employees. However, the effect of these deductions is relatively small: the direct taxes decrease the Gini coefficient by only 0.015.

The indirect taxes – the value-added tax, the import duties, and the excises – are weakly regressive, putting the burden of taxation on the poor. This is particularly true for the alcohol and tobacco excises. Again, the main purpose of these taxes is to penalize unwelcome behavior, and not to redistribute income, hence the result is not unexpected, and common for many countries. Overall the indirect taxes in Belarus increase the Gini coefficient by 0.05.

Direct transfers

Direct transfers are responsible for most of the equalizing effects of the fiscal policies. This is not surprising, given that the main purpose of the direct transfers is to fight poverty and provide support for those in need. However, most of the transfers are not need-based or targeted to the poor. Instead they are assigned to households based on their socio-economic characteristics aside income, such as age and maternity status.

Pensions are the main factor of reducing poverty and inequality. They reduced the Gini coefficient by 0.11 and decreased poverty (according to national definition) by 19 percentage points. The incredible effectiveness of the pensions is largely explained by the absence of other sources of income of the retirees. The majority of them does not work, and have no other pension savings or passive income. Pensions in Belarus are also redistributive in nature since they only weakly depend on one’s income during the working life.

Different benefits and privileges also decrease poverty and inequality, but at a much smaller scale. The childcare benefits (for families with children aged 0-3 years) contribute most to the effects, decreasing the Gini coefficient by 0.013 and poverty by 3 percentage points. The variety of privileges does not contribute much due to their relatively small size.

Subsidies

Utilities and transport subsidies are also important elements of the social support system, and their existence is usually justified by the necessity to support those in need. Since the utilities subsidies are incorporated into tariffs and available for everyone independent of need, they are in fact benefitting the rich (i.e. people with big apartments and houses).

Figure 1. Incidence of utilities subsidies by income deciles

Source: Bornukova, Chubrik and Shymanovich, 2017

As seen on Figure 1, upper deciles receive more support through utilities subsidies, and this support is quite substantial, often surpassing $1 per day in PPP. However, as a share of income the utilities subsidies are still progressive, and they in fact decrease the Gini coefficient by the tiny amount of 0.006, and decrease poverty (as any handout). The same is true for transport subsidies.

What could be improved?

Due to the flat nature of direct taxation and an absence of well-targeted needs-based transfers, some of the people in need still fall through the cracks. 1.9% of the population actually becomes poor after we account for the direct taxes and transfers. This headcount increases to 3.3% if we account for indirect taxes.

Another important issue is the efficiency of government transfers and subsidies in fighting poverty and inequality. It is not surprising that pensions have the largest equalizing contribution, as the government spends almost 11% of GDP on pensions. If we account for this fact and look at the efficiency (effect on poverty and inequality per dollar spent), pensions are not the leading program. It is in fact surpassed by different kinds of child support. Given that mothers in Belarus are allowed to take 3 years of unpaid maternity leave, which decreases household income, childcare benefits are relatively efficient.

The unexpected leader in efficiency is unemployment benefits, despite (or maybe due to) their negligible size. Shymanovich (2017) shows that unemployed face high risks of poverty, suggesting that an increase in the size of unemployment benefits and an easier access may bring huge benefits. The current minuscule size of the benefits (around $10-15 per month) is still enough to lift some people out of poverty, and has important equalizing effects, generating the biggest “bang for the buck” out of all benefits.

The student grants (stipends), the utilities subsidy and the transport subsidy have very low efficiency. These programs relocate a lot of funds to the upper deciles of the income distribution. Our calculations show that if all benefits, privileges and subsidies were not available to those in the top two income deciles, the Belarusian budget could save 1.4% of GDP.

Conclusion

Fiscal policies in Belarus are quite effective in redistributing income. Bornukova, Chubrik and Shymanovich (2017) show that the direct taxes and transfers in Belarus result in a decrease of poverty by 17 percentage points, and decrease the Gini coefficient of inequality from 0.41 to 0.27. The pension system has the most important contribution, decreasing poverty by 19 percentage points, and the Gini coefficient by 0.11.

However, the absence of a needs-based, well-targeted social support system leads to many inefficiencies. Direct and indirect taxes lead to impoverishment of 3.3% of population, which is not compensated by direct transfers.

The absence of targeting also leads to 1.4% of GDP redistributed towards the two upper income deciles through benefits, privileges and subsidies. This is, of course, highly inefficient. Better targeting could allow saving these funds or redirecting them to unemployment benefits – the most efficient but a very small benefits program so far.

References

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Preferences for Redistribution in Post-Communist Countries

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Public attitudes toward inequality and the demand for redistribution can often play an import role in terms of shaping social policy. The literature on determinants of the demand for redistribution, both theoretical and empirical, is extensive (e.g., Meltzer and Richard 1981, Alesina and Angelotos 2005).  Usually, due to data limitations, transition countries are usually considered to be a homogeneous group in empirical papers on the demand for redistribution. However, new data on transition countries allow us to look more deeply into the variation within this group, and to look at which factors are likely to play a significant role in shaping a society’s preferences over redistribution.

The data we use are from the second round of the EBRD and WB Life in Transition Survey (LiTS) (EBRD Transition Report 2011). This is a survey of nationally representative samples consisting of at least 1000 individuals in each of the 29 transition countries.[1] In addition, and for comparison purposes, this survey also covers Turkey, France, Germany, Italy, Sweden and UK. Furthermore, in six of the countries surveyed – Poland, Russia, Serbia, Ukraine, Uzbekistan and UK – the sample consists of 1500 individuals.

Redistribution is, in general, a complex issue, which can take various forms and rely on different mechanisms. In this policy brief, we will only focus on two forms of public attitudes towards redistribution. The first is direct income redistribution from the rich to the poor and public preferences for or against this form of redistribution. The second is indirect redistribution through the provision of public goods, some of which favor certain groups of population over others. In particular, we will consider preferences over extra government spending allocations in the areas of education, healthcare, pensions, housing, environment and public infrastructure. Generally, we would like to explore in greater detail to what extent there are differences across countries in terms of public preferences over redistribution and what might explain differences both within and across societies.

Both survey rounds include questions regarding public preferences towards income redistribution, direct (from the rich to the poor) and indirect (through government spending towards certain public goods). Data for exploring public preferences for direct redistribution can be obtained from a question in the survey that asks respondents to score from 1 to 10 whether they prefer more income inequality or less. More specifically, in the LiTS 2010, the question is the following:

Q 3.16a “How would you place your views on this scale: 1 means that you agree completely with the statement on the left “Incomes should be made more equal”; 10 means that you agree with the statement on the right “We need larger income differences as incentives for individual effort”; and if your views fall somewhere in between, you can choose any number in between?

Note, however, that we use the reverse of this so that 10 represents greater equality and 1 represents wider differences. Bearing this in mind, figure 1 shows the average scores for redistribution preferences for a selection of the countries for 2010 and shows a sizeable variation ranging from 4.4 (more inequality) in Bulgaria to 7.87 (greater equality) in Slovenia. The mean for Russia is 6.92.

The data also allows for a comparison to be made between these preferences in transition countries and in the developed economies covered in the survey. For instance, Russians are on average close to Germans in their preferences for redistribution, while Estonians and Belarusians prefer less redistribution and are closer to the British, on average.

Figure 1. Preferences for Direct Redistribution
denisova1

Indirect measures of attitudes towards redistribution can add further depth to these societies’ preferences. In particular, the indirect measures in the 2010 survey are derived from a question that asks respondents to rate from 1 to 7 their first priorities for extra government spending.

Q 3.05a “In your opinion, which of these fields should be the first priority for extra government spending: Education; Healthcare; Housing; Pensions; Assisting the poor; Environment (including water quality); Public infrastructures (public transport, roads, etc.); Other (specify)”?

The country averages for these indirect measures for 2010 are presented in Figure 2. The graph reveals a sizeable cross-country variation. For instance, 43.5% of respondents in Mongolia preferred channeling extra government money to education, while 48.7% of respondents in Armenia selected higher healthcare spending. Almost 39% of respondents in Azerbaijan chose assistance to the poor as the first priority for government spending, while the corresponding figure was only 8.3% in Bulgaria and 4% in the Czech Republic. More than 34% of the Russians choose healthcare as their first priority, another 20% choose education, 15% would like the money to be channeled to housing, 14.5% to pensions, 11% to support the poor, 3% to support environment, and only 2% to public infrastructure (2010).

These numbers highlight that there are sizeable differences across the transition countries regarding preferences for redistribution. Also, regarding the form of indirect redistribution in terms of preferences over how government budgets should be prioritized and allocated. Several groups of factors or determinants are typically listed in academic literature to help explain what drives public preferences over the degree and form of redistribution. In the first group of factors, there are various determinants at the individual level. Within the group of individual determinants, self-interest or rational choice of a degree of redistribution favorable to the individual with usual (individual) preferences are stressed. Alternatively, motives behind a preference for redistribution can be related to social preferences (preferences for justice or equity) and reciprocity. Within this general group of self-interest, attitudes towards risks can be stressed as a crucial factor behind demands for social insurance and hence for indirect forms of redistribution. Individuals’ prospects of upward mobility, expectations about their future welfare or ‘tunnel effect’ in shaping their views and preferences over redistribution are also underlined. Also, the commonly held beliefs about the causes of prosperity and poverty are considered to be important in shaping the public’s attitudes under the umbrella of social preferences.

The literature covers possible institutional determinants for preferences towards redistribution and emphasizes the role of the level of inequality in a society and typically relates to the median voter hypothesis in democracies.  It is also stressed that welfare regimes (liberal, conservative) can play a role in shaping the level of public support for redistribution.

Figure 2. Preferences for Indirect Redistribution
denisova2

A closer examination of the data and estimates of the factors shaping individuals preferences over redistribution in the 2010 survey, are consistent with motives involving strong self-interests of the respondents.[2] Those from richer households have less support for redistribution, with the result being robust to the measure of household income used. The past trend in household income positions is insignificant, while the higher the expected income position of household in the coming four years, the less supportive the respondents are of income redistribution (elasticity -0.1). Those who experienced severe hardships with the recent crisis tend to support redistribution more than those who had little problems or not at all (elasticity 0.13).

Furthermore, the role of preferences towards uncertainty is confirmed: the higher the (self-reported) willingness to take risks, the less likely the individual is to support or favor redistribution. Respondents with tertiary education are less inclined to support redistribution of income from the rich to the poor, compared to those with secondary education (elasticity is -0.4). Having a successful experience with business start-ups also decreases demand for income redistribution from the rich to the poor (elasticity -0.3). Those living in rural areas are more in favor of redistribution compared to metropolitan areas, while living in urban areas shows the same level of support for redistribution as those living in metropolitan areas. In each of these cases, it appears that those who would benefit the most from redistribution favor it more than those who view it as coming at their expense, or possible expense in the future.

Beliefs regarding the origins of success and poverty are also shown to be statistically significant and negative, as predicted: those who believe effort and hard work or intelligence and skills are the major factors for success are less supportive of income redistribution (elasticity -0.16). Those who consider laziness and lack of will power the major factors for people’s lack of success are also, consistently, less supportive of redistribution (elasticity -0.2).

It also turns out that better democratic institutions are correlated with a higher demand for redistribution. The result is robust across the measures used, i.e. it does not seem to depend on the particular measure used. The size of the effect is quite pronounced: a one standard deviation increase in the democracy measure increases demand for redistribution from 16 percentage points, when the voice and accountability measure is used, to 33 and 36 percentage points when controls of the executives and democracy index are used.

Furthermore, the better the governance institutions, as measured by the rule of law and control of corruption indexes, the higher is the demand for redistribution. However, the result is not robust to the various measures used. Government effectiveness appears to be insignificant (though with a positive direction), and the regulatory quality measure is insignificant but with a negative direction. The size of the effects is again quite pronounced. A one standard deviation increase in the rule of law measure increases demand for redistribution by 17 percentage points, and a one standard deviation increase in the control of corruption measure increases demand for redistribution by 27 percentage points.

The higher the level of inequality, the larger is the demand for redistribution as might be expected. This result is robust across all measures used. The size of the effect varies from 16 to 18 percentage points in response to a one standard deviation increase.

A regression analysis of preferences towards indirect redistribution also shows that self-interest motives are very pronounced, but there are traces of social preferences as well. In particular, younger people (age 18-24) would like to have more subsidized education and housing at the expense of healthcare and pensions in comparison with the age 35-44 reference group. Those in the age 25-34 group would like to redistribute public spending to housing and environment at the expense of education, pensions and public infrastructure. Respondents in the age 45-54 group would also like to redistribute additional spending from education but to pensions. The two groups of older people (age 55-64 and 65+) would like to shift extra spending from education and housing to healthcare and pensions. The group of age 65+ would also like to shift money from assistance to the poor.

Respondents with tertiary education (in comparison with holders of a secondary degree) favor extra spending for education, environment and public infrastructure at the expense of healthcare, pensions and assisting to the poor, thus revealing additional elements of social motivations. Respondents with primary education, when compared to holders of secondary degree, would like to redistribute public money from education to pensions and assistance to the poor. Respondents with poor health favor additional spending on healthcare and pensions at the expense of education.

High skilled (in terms of occupational groups) respondents would like to redistribute public money from pensions to education. Those with market relevant experience of being successful in setting up a business tend to support education and public infrastructure at the expense of housing and pensions, though the result lack statistical power.

Respondents from households with higher income support extra spending for education, environment and public infrastructure at the expense of healthcare, pensions and assistance to the poor; again pointing to the other elements of possible social motivations. Those with a self-reported positive past trend in income position tend to support spending extra money on the environment at the expense of assistance to the poor (the latter lacks statistical power). If the respondent lives in its own house or apartment, s/he tends to support redistribution from housing and assistance to the poor, to healthcare and pensions.

Respondents whose households were strongly affected by the crisis would like expenditure on environment and public infrastructure to be reduced. Those with higher self-reported willingness to take risks would redistribute extra public money to education at the expense of healthcare and housing.

Respondents who believe that success in life is mainly due to effort and hard work, intelligence and skills favor education at the expense of assistance to the poor and public infrastructure, suggesting they might view education as the key to escape poverty. Those who think that laziness and lack of willpower are the main factors behind poverty would, unsurprisingly, redistribute extra public money from assistance to the poor to healthcare.

Males (as compared to females) favor extra spending on education, housing, environment and public infrastructure at the expense of healthcare. The self-employed favor extra spending of public money to pensions at the expense of housing. There is no difference across respondents living in metropolitan, rural or urban locations.

A regression analysis shows that better democratic institutions are correlated with higher support for allocation of additional public spending to education and healthcare, environment and public infrastructure. The effects are larger for education and healthcare: one standard deviation in the democracy index increases the support for spending money on education by 3 percentage points, for healthcare by 3.1 percentage points, and only by 0.4 and 0.6 percentage points for environment and public infrastructure, respectively. This reallocation is at the expense of assistance to the poor (3.5 percentage points), housing (2.6 percentage points) and pensions (1.1 percentage points). The pattern is robust to the measure of democratic institutions used, though the marginal effects vary slightly depending on the measure.

The influence of governance institutions is similar. Respondents in countries with better governance institutions favor allocation of extra public money to education (3.2 percentage points in response to one standard deviation in government effectiveness), health care (2.9 percentage points), environment (0.9 percentage points) and public infrastructure (0.6 percentage points). The reallocation is at the expense of assistance to the poor (4.2 percentage points), housing (3.3 percentage points) and pensions (0.2 percentage points). The pattern is also robust to the measure of governance institutions with the marginal effects varying slightly depending on the measure.

The higher the level of inequality in a country, the higher the demand for spending extra public money for education at the expense of assistance to the poor, pensions and public infrastructure. A one standard deviation increase in the index, increases demand for spending extra public money on education by 3.8 percentage points, and decreases spending on assistance to the poor by 2 percentage points, pensions by 1.9 percentage points, and public infrastructure by 0.06 percentage points. The results are robust to the inequality measure used.

Overall, the analysis provides empirical evidence that transitional countries are not homogeneous with respect to preferences for redistribution, with sizeable variations in country averages and in public preferences. The study of individual determinants of preferences for redistribution confirms a dominant role of self-interest, with some indications of social sentiments as well. In addition to the usual measures used in individual level analysis, these data allow better control for both positive and negative personal and household experience. The study of institutional determinants also confirms the role of income inequality in shaping public attitudes. In particular, higher inequality is confirmed to increase the demand for direct income redistribution. A novel motive of the paper is the influence of democracy and governance institutions on demand for redistribution. Better democracy and governance institutions are likely to stimulate demand for income redistribution, revealing both higher societal demand for redistribution and appreciation of the potential capability of the government to implement redistribution effectively.

The study of individual determinants of indirect demand for redistribution adds to the overall picture and confirms not only the self-interest motives but also social preferences especially pronounced among people with tertiary education and in high income groups. Better democratic and governance institutions stimulate redistribution of public money towards education, healthcare, environment and public infrastructure, while weaker democratic and governance institutions increases demand for allocation of public money to assistance to the poor, housing and pensions.

References

Meltzer, A., Richards, S., 1981. “A Rational Theory of the Size of Government”. Journal of Political Economy 1989, 914–927.

Alesina, A., Angeletos, G.M., 2005. “Fairness and Redistribution”. The American Economic Review, 95(4), 960-98


[1] The countries covered were: Albania, Armenia, Azerbaijan, Belarus, Bosnia, Bulgaria, Croatia, Czech Republic, Estonia, FYROM, Georgia, Hungary, Kazakhstan, Kosovo, Kyrgyzstan, Latvia, Lithuania, Moldova, Mongolia, Montenegro, Poland, Romania, Russia, Serbia, Slovak Republic, Slovenia, Tajikistan, Turkey, Ukraine and Uzbekistan.

[2] The basic empirical equation to study individual determinants of public preferences towards income redistribution is the OLS with country fixed effects (for direct redistribution) and multinomial regression with country fixed effects (for indirect measures). When studying the influence of institutions, the equations are transformed to replace country fixed effects with an institutional measure (one at a time). To control for the basic economic differences, average GDP per capita was included.