Tag: SHARE
Homeownership and Material Security in Later Life
Many previous studies show that homeownership is related to various aspects of well-being, although the causal nature of this relationship is difficult to identify. We analyze the association between homeownership and material security, measured through subjective expectations of being better or worse off in the future, using data from 15 European countries. Our findings show that homeowners have a higher level of material security than renters, with larger differences among those living in big cities. We find that material security increases with the value of owner’s property and at the same time find no significant relationship with education, income or financial situation. We interpret the results as support for one of the most commonly emphasized mechanisms behind the positive effects of homeownership for well-being – that homeownership provides a particular form of material security in old age.
Introduction
Vast empirical literature links homeownership to numerous outcomes, such as well-being, health or mobility (Costa-Font, 2008; Dietz and Haurin, 2003; Rohe and Stewart, 1996 among others). In most cases the specific causal link with homeownership per se is however difficult to demonstrate. This because homeownership, especially in old age, usually reflects the financial resources accumulated over the life course through labor market history, as well as health and family developments (Angelini et al., 2013). This means that many unobservable characteristics can obscure the relationship between homeownership and welfare outcomes and bias the estimated parameters.
Material security is an important aspect of well-being, facilitating longer-term planning of financial decisions, smoothing of expenditures across periods of lower contemporaneous incomes and allowing exceptional spending when faced with various negative shocks. It seems particularly relevant in old age when people’s ability to adjust their current income to their specific needs is significantly reduced, and material needs increasingly depend on health. As people age and as their ability to maintain labor market activity diminishes, the material resources available to them, and the security these can provide, are increasingly composed of pensions and accumulated assets. Among the latter, fixed assets, and in particular ownership of one’s home, play a very special role, as they provide some financial backup and secure a flow of regular consumption in the form of accommodation.
It is reasonable to expect that homeownership would influence well-being through the channel of material security, particularly in old age. Surprisingly, the findings in the literature directly exploring this mechanism are so far scarce. We address this gap using data collected in the Survey of Health, Ageing and Retirement in Europe (SHARE) on individuals aged 50 years and above. We take advantage of the 2006 edition of the survey from 14 European countries and Israel and develop a measure of perceived future material security using two consecutive questions on ‘the chances that five years from now the standard of living [of the participant] will be better/worse than today’. Participants reported the estimated chances on a scale from 0 to 100, where 0 means ‘absolutely no chance’ and 100 denotes ‘absolutely certain’. In line with previous behavioral literature, we calculate a difference between the chances of being better vs. worse off, and recode into a categorical variable with 5 outcomes spanning from ‘very likely worse off’, through ‘rather likely worse off’, ‘equally likely’, ‘rather likely better off’ and ‘very likely better off’ (more details in Garten et al., 2022). In our sample, ‘equally likely’ is the most frequent category (30 percent of total responses), and being either ‘very’ or ‘rather likely worse off’ was more frequently reported than being better off (48 percent of total responses coded as either outcome for being worse off as compared to 22 percent for the two categories of being better off).
The Impact of Homeownership on Expectations of Future Standard of Living
We regress the measure of perceived material security on an extended vector of characteristics including basic demographics, education, marital status, labor market status, the relative position in the distributions of income and financial assets, and physical and mental health. Our main variable of interest is a categorical measure of homeownership, where individuals are split between renters and homeowners, who are further divided based on the country-specific quartiles of their home value. This measure is then interacted with being a big city resident. Below we present some selected results, which are reported in full in Garten et al. (2022).
In Figure 1 we report the results for each outcome of perception of material security for owner occupiers (depending on the value of their home) as compared to renters, by place of residence. The correlation with material security is particularly strong among those living in cities. However, among other respondents, those in the top quartile of the home value distribution are also more likely to report being optimistic about their material conditions in the future. For big city dwellers, the differences between renters and home owners are statistically significant already for owners with home values in the second quartile of the distribution, and the effects carry through to higher quartiles. The differences for selected perceptions of material security are not only statistically significant but also large in magnitude in the case of city dwellers who own the most expensive properties. As compared to renters they are 3.7 percentage points more likely to expect that their future situation will be either ‘rather’ or ‘very likely’ better. Among those living in big cities, 17.5 percent and 8.5 percent respectively, declare these positive expectations. This means that proportionally, the estimated 3.7 percentage points correspond to respective increases of 21.2 percent and 43.3 percent.
Figure 1. Marginal effects of homeownership for outcomes of perception of material security
Note: Results presented as marginal effects based on estimations using the ordered probit model with 95% confidence intervals. More details available in Garten et al. (2022).
We relate the marginal effect of owning a property in the top quartile of the home value distribution, as compared to owners with properties in the bottom quartile or renters, to the effect resulting from: higher education, being in the top income quartile or in the top financial assets quartile. While education, income and financial assets affect the perception of future material situation in the expected direction, the estimated relationships are statistically insignificant, and their magnitude is much lower compared to the estimated relationship with homeownership.
Conclusion
Relative to renters, individuals owning their homes tend to have higher levels of well-being across numerous dimensions (see Garten et al., 2022 for an overview). Due to the complex nature of the accumulation of wealth and its interaction with different spheres of life over the life cycle, the identification of the causal character of this relationship is a nearly impossible task. Although many mechanisms behind this relationship have been suggested, few have actually been put to the test against real-life data. Therefore, better understanding of these mechanisms might be a way to verify the hypothesis that homeownership actually matters for well-being.
Our findings confirm that homeowners – in particular those living in big cities – enjoy a higher level of self-perceived material security and are more likely to express optimism about their material standard of living in the future as compared to renters. Such feeling of security for the coming years may contribute to a more general positive outlook, and consequently to the higher reported levels of well-being and life-satisfaction observed in the literature. The examined relationship is especially strong among those in the top quartile of the distribution of property values, although for dwellers in big cities the effect is also strong for those with lower property value. While these findings cannot be interpreted as strictly causal, we suggest that owning a home offers a very particular type of material security in old age and that this security might be an important mechanism leading to the observed positive relationship between homeownership and overall well-being.
Acknowledgement
The authors wish to acknowledge the support of the German Science 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 Garten et al. (2022).
References
- Angelini, V., Laferrère, A., and Weber, G. (2013). Home-ownership in Europe: How did it happen?, Advances in Life Course Research, 18(1), pp. 83–90.
- Costa-Font, J. (2008). Housing assets and the socio-economic determinants of health and disability in old age, Health & Place, 14(3), pp. 478–491.
- Dietz, R. D. and Haurin, D. R. (2003). The social and private micro-level consequences of homeownership, Journal of Urban Economics, 54(3), pp. 401–450.
- Garten, C., Myck, M., and Oczkowska, M. (2022). Homeownership and the Perception of Material Security in Old Age, SSRN Electronic Journal. doi:10.2139/ssrn.4196268.
- Howden-Chapman, P. L., Chandola, T., Stafford, M., and Marmot, M. (2011). The effect of housing on the mental health of older people: the impact of lifetime housing history in Whitehall II, BMC Public Health, 11(1), p. 682.
- Rohe, W. M., and Stewart, L. S. (1996). Homeownership and neighborhood stability, Housing Policy Debate, 7(1), pp. 37–81.
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.
Unemployment in Transition and Its Long-Term Consequences
We examine the relationship between the experience of unemployment in the early years of the socio-economic transition in Poland and a number of wellbeing measures about two decades later. The analysis takes advantage of the rich content of data from the Survey of Health, Ageing and Retirement in Europe (SHARE) by matching retrospective information on labour market experiences with outcomes observed in the survey after year 2006. While there is a strong correlation between unemployment and general wellbeing measures such as life satisfaction, depression and subjective assessment of material conditions, the relationship cannot be interpreted as causal. On the other hand, we find that unemployment in the early years of the transition has strong, negative, long-term consequences for income and house ownership. The analysis sheds light on the implications of unemployment and on the nature of job losses in the follow-up of the Polish ‘shock-therapy’.
Introduction
Next year, the countries of Central and Eastern Europe will celebrate the 30th anniversary of the political breakthrough and the beginning of a major socio-economic transformation which followed. In the Polish case, the ‘shock therapy’ approach to the reform process implemented by the Mazowiecki government, though not without faults, has generally been viewed as the origin of the country’s economic success story. Afterwards, Poland experienced nearly three decades of uninterrupted economic growth and the Polish GDP returned to its pre-reform level already in 1995.
However, discussions of negative implications of the reform package still fuel the academic discourse as well as the political debate. While the majority of the population managed to avoid significant economic difficulties, many families experienced the painful hardship of the transition period in the form of job losses, poverty and exclusion. Given the scale of the socio-economic change, surprisingly little is known about the long-term consequences of individual experiences at that time. In particular, it is unclear if the negative outcomes observed many years after the reforms started can be causally linked to individual experiences in the early 1990s.
This lack of evidence is not unique for Poland and is largely due to unavailability of good individual-level data spanning the time before and after the collapse of communism. Since the transition cannot be lived through again, we shall never know how socio-economic conditions would have looked like under numerous alternative reform scenarios. However, as we show in a recent paper (Myck & Oczkowska, 2018), much can be learnt from the combination of contemporary and retrospective information on the nature of labour market histories during the transition and their relationship to outcomes recorded many years later.
The analysis presented in Myck and Oczkowska (2018) relies on the treatment of the systemic changes in the early 1990s as a major exogenous shock and on differentiating between reasons behind individual experiences of unemployment. We demonstrate that the observed strong correlation between unemployment in the initial years of the transition and a number of subjective wellbeing measures in later life is endogenous, and may reflect unobservable individual characteristics. It seems plausible to argue that these characteristics were the reasons behind the recorded job losses once the economy was liberalised and firms could fire their least productive employees.
Work histories in the SHARE dataset
The analysis is based on individual-level data from the Polish part of the Survey of Health, Ageing and Retirement in Europe (SHARE). SHARE is a multidisciplinary biennial panel survey focusing on individuals aged 50 years and over. Since the start of the project in year 2004 seven waves of data have been collected, and the survey was conducted in Poland in waves 2, 3, 4, 6 and 7. While the standard waves of the survey focus on contemporary conditions of respondents such as health, economic conditions, labour market activity and social networks, in wave 3 (the so-called SHARE-Life), participants were asked about their life histories including their family history, mobility and labour market experiences. The detailed labour market histories recorded in SHARE-Life allow us to identify transition-related job losses, which can be matched with current information on several measures of material conditions and wellbeing for the same individuals.
In Figure 1 we present labour market profiles since 1988 of those in the sample who were working prior to the start of the reform process.
Figure 1. Labour market status 1988 – 2008 conditional on working in 1988 in Poland
Source: Myck and Oczkowska, 2018.
The figure shows that along with rapidly increasing unemployment rates, the degree of inactivity of the Polish population grew substantially in the two decades following the transition. This data confirms that in the follow-up of the ‘shock-therapy’ reforms many individuals faced unemployment, while others, especially among older groups of employees, used several other labour market exit options, such as retirement or disability.
Analysing long-term consequences of economic shocks
To examine the role of unemployment experiences in the initial years of the transition for outcomes observed a few decades later, we use data from waves 2, 3 and 4 of the SHARE study. The analysis focuses on two groups of later-life outcomes – objective measures of material conditions such as household income, real assets and house ownership, and subjective indicators of wellbeing such as life satisfaction, depression or reporting difficulties in making ends meet.
We are able to control for an extensive set of individual characteristics which are usually unobservable to the researcher, through a complex set of background variables available in SHARE. These include respondents’ childhood conditions, parental background as well as health and labour market experience prior to 1988. With regard to the experience of unemployment we differentiate the instances of unemployment between the initial (1989-1991) and later (1992-1995) period of the transition to examine the potential differential implications of the rapid pace of the reforms in the early 1990s. Most importantly though, the data allows us to distinguish between different reasons behind job losses and we can separately examine the relationship with plant/office closures and other reasons for unemployment. Following other examples in the literature (Farber, 2011; Jacobson et al., 1993), we argue that plant closures can be treated as reasons for exogenous job separations. This in turn allows us on the one hand, to give a causal interpretation to the estimated coefficients, and on the other, to interpret those on other reasons for unemployment in the light of the causal relations.
Effects of unemployment experience on later-life outcomes
We find that experiencing unemployment due to plant/office closure between 1989 and 1991 is associated with almost a 30 percent lower level of household income and a lower probability of house ownership of about 10 percentage points (pp) some two decades afterwards. There is also a strong relationship between unemployment in the early years of the transition and wellbeing measures two decades later – individuals who experienced unemployment in the first three years of the transition have a 14 pp. higher likelihood of reporting great difficulties in making ends meet, a 10 pp. lower probability of high life satisfaction and a 11 pp. higher likelihood of depression. However, since these relations do not hold for unemployment due to plant closures, they cannot be treated as causal. The results are therefore most likely driven by unobserved factors which simultaneously determine the lower level of outcomes two decades after the ‘shock-therapy’ reforms, and the likelihood of experiencing unemployment in the early 1990s.
Conclusion
In this policy brief we outline recent results on long-term implications of labour market developments in the early years of the economic transition in Poland. The analysis is based on a combination of contemporary and retrospective data from the SHARE survey, and focuses on the associations between the experience of unemployment in the initial years of the transition in Poland and a number of outcomes measured about two decades later. Using plant/office closures as exogenous sources of job separations during the early 1990s, we find a strong and statistically significant, negative, long-term effect on income and home ownership, which can be treated as causal.
We also find strong negative associations between unemployment for other reasons than plant / office closures and a number of subjective measures of wellbeing. This relationship however, does not hold for the exogenous reasons for job losses, which suggests an important role of unobservable factors that lead to unemployment and at the same time are responsible for the lower level of outcomes in later life. This is consistent with the labour market reality of central planning characterised by labour hoarding and maintaining employment regardless of workers’ productivity. When the economic reality changed in 1989, the least productive individuals were the first to be fired, and as our analysis shows, these are also the individuals with lower subjective levels of wellbeing two decades later. We confirm thus that those who lost their jobs in the early 1990s have lower measures of the subjective wellbeing outcomes, although the latter cannot be identified as specific consequences of unemployment in the first years of transition.
References
- Farber, H. (2011). “Job loss in the great recession: historical perspective from the Displaced Workers Survey, 1984-2010”, NBER Working Paper No. 17040, National Bureau of Economic Research.
- Jacobson, L., LaLonde, R. and Sullivan, D. (1993). “Earnings losses of displaced workers”, American Economic Review, 83, pp. 685–709.
- Myck, M. and Oczkowska, M. (2018). “Shocked by therapy? Unemployment in the first years of the socio-economic transition in Poland and its long-term consequences”, Economics of Transition, 26(4), pp. 695-724.
Acknowledgement
The authors gratefully acknowledge the support of the Polish National Science Centre through project no. 2015/17/B/HS4/01018. For the full list of acknowledgements see Myck and Oczkowska (2018).
Paid Work after Retirement – Does Quality of Your Main Job in the Past Matter?
In this brief, we summarize the results of a recent analysis focused on identifying the key determinants of engagement in paid work after retirement based on life histories data from the Survey of Health, Ageing and Retirement in Europe (SHARE). We find a strong link between the probability of work after retirement and indicators of quality of work prior to labor market exit, such as high physical and psychosocial demands, lack of control or receiving adequate social support. These results suggest a potentially important role of job-quality regulations. We find no significant association with past experience of adequate rewards with respect to efforts in the main job, which suggests that involvement in paid work after retirement may to a lesser extent be driven by financial concerns. This might mean that policy initiatives targeted at higher level of labor market activity among retirees should stress non-material aspects of employment in later life.
The collection of data in the 7th wave of the Survey of Health, Ageing and Retirement in Europe (SHARE) proceeded in 2017, and the Centre for Economic Analysis (CenEA) has recently published a report based on information collected in previous waves of the survey. The report entitled “The Polish 50+ generation in the European context: activity, health and wellbeing” examined among other issues the determinants of labor market activity of people aged 50+ with a special focus on Poland (Myck and Oczkowska, 2017).
SHARE is a panel survey conducted every two years and focuses on health conditions, material situation and social relations of the population aged 50 years and older. In 2017, in the 7th Wave, interviews were conducted with over 80,000 participants in 26 European countries and Israel. While the survey usually focuses on contemporary conditions of respondents, the interviews in Wave 3 (the SHARE-Life conducted in 2008-2009) is concerned with respondents’ life histories and topics such as family history, mobility and work histories.
In this brief, we draw on one of the chapters from the report and present results of a analysis that combines information on the quality of the main job of the respondents’ working careers, with information on engagement in paid work among retired individuals to examine key determinants of undertaking paid work after labor market exit.
Work histories in SHARE
The life-history interview includes a series of 12 questions evaluating effort-reward imbalance in the main job of individuals’ working careers (Siegrist and Wahrendorf, 2011; Siegrist et al., 2004; 2014). Based on these questions, five dimensions of the quality of the workplace were identified: physical and psychosocial demands, control, social support and reward (see Table 1). Figure 1 presents an example of the distribution of answers to one of the questions used to define these dimensions, which asked about the extent to which the respondents’ main jobs was physically demanding. Generally, men’s past main job is more often described as physically demanding than women’s. While less than half of respondents in France and Sweden claimed physically strenuous main job, the respective measure in Poland and Greece was as high as 75%.
Table 1. Dimensions of job quality
| Dimension | SHARE Questionnaire Items |
| Physical demands |
– „My job was physically demanding.” – „My immediate work environment was uncomfortable (for example, because of noise, heat, crowding).” |
| Psychosocial demands | – „My work was emotionally demanding.”
– „I was exposed to recurrent conflicts and disturbances.” |
| Control | – „I was under constant time pressure due to a heavy workload.”
– „I had very little freedom to decide how to do my work.” |
| Social support at work | – „I received adequate support in difficult situations.”
– „There was a good atmosphere between me and my colleagues.” – „In general, employees were treated fairly.” |
| Reward |
– „I had an opportunity to develop new skills.” – „I received the recognition I deserved for my work.” – „Considering all my efforts and achievements, my salary was adequate.” |
Notes: answer categories: “strongly agree, agree, disagree, strongly disagree”. Source: adapted from Siegrist and Wahrendorf (2011).
Figure 1. “My job was physically demanding”
Notes: includes wave 3 respondents with at least 10 years of seniority who retired by the time of wave 6; weighted. Source: own calculation based on SHARE data waves 3 (2008-2009) and 6 (2015).
Following Wahrendorf and Siegrist (2011), for the purpose of further analysis, we construct five measures of workplace quality based on the questions listed in Table 1. For each dimension of job quality, we calculate a sum-score of answers (from 1 “strongly agree” through 2 “agree”, 3 “disagree” to 4 “strongly disagree”) to selected questions, and identify the upper (lower) tertile of observations. We create five binary indicators (with 1 meaning “yes”) describing the quality of work in the sense of high physical or psychosocial demands, lack of control, and adequate social support or adequate reward. The results are presented in Figure 2 in association with the frequency of paid work after retirement.
Figure 2. Associations between quality of work in the past and frequency of paid work after retirement
Notes: includes wave 3 respondents with at least 10 years of seniority who retired by the time of wave 6 from selected countries (CZ, FR, DE, GR, PL, ES, SE); weighted. Source: own calculation based on SHARE data waves 3 (2008-2009) and 6 (2015).
In most cases the percentage of retirees engaged in paid work was significantly higher among those positively evaluating the quality of their past workplace. The only dimension where no significant difference was found in the level of involvement in paid work was between the retirees who estimated rewards at work as adequate to their efforts and those who assessed them otherwise.
What determines paid work after retirement?
The role of the five measures of job quality was further examined using models of probability of paid work after retirement. Apart from quality indicators regarding the main job, controls included total labor market experience, unemployment incidence, as well as detailed demographics and information concerning current health status and material conditions. Odds ratios were estimated separately for men and women from a group of selected countries: Czech Republic, France, Germany, Greece, Poland, Spain and Sweden.
Higher education is positively associated with the odds of employment after retirement, but have the opposite effect for age, poor health and living in rural areas. Each additional year of labor market experience increases the odds of working after retirement, but we find no significant effect of unemployment episodes.
Both men and women without experience of high physical demands and lack of control in their main job have higher odds of working after retirement than those who declared such experiences. For example, men who did not experience highly, physically demanding main jobs have 1.4 times higher odds of work after retirement compared to those who did. The respective odds for those who did not experience lack of control are 1.9. On the other hand, high psychosocial demands and adequate social support have significant influence only among retired women. Women who did not report high psychosocial demands had 1.25 times higher odds of work after retirement, while those who received adequate support in their past job had 1.5 times higher odds. We find no significant effect of the experience of adequate rewards with respect to efforts in the main job, and similarly no significant association between material conditions and employment of retirees. Both of these may imply that involvement in paid work after retirement is to a lesser extent driven by financial concerns.
Further discussion and policy implications
Differences in the degree of engagement in paid work after retirement with respect to the assessment of past job quality suggest a potentially important role of job quality regulations. At the same time, lack of significant association between the material situation and paid work after retirement implies that policy initiatives targeted at higher levels of labor market activity among retirees may benefit from stressing the non-material aspects of employment in later life.
Results point to a strong link between quality of work in the past and probability of work after retirement, which is in line with what other studies have showed: e.g. that low quality of work in the past strongly correlates with the desire to retire as soon as possible (e.g. Dal Bianco et al., 2014). Given the demographic pressure on public finances observed or expected in many developed countries, and foreseen reductions in the generosity of pension benefits, increasing the level of engagement in paid work after labor market exit may become an important policy challenge. The results summarized in this brief suggest that governments should, on the one hand, pay attention to the labor market conditions faced by those currently employed, and on the other hand focus on a broad set of incentives to encourage employment among older generations, going beyond financial remuneration.
References
- Dal Bianco, C., Trevisan, E., Weber, G., 2014. „I want to break free. The role of working conditions on retirement expectations and decisions”, European Journal of Ageing, 12(1), 17-28.
- Myck, M., Oczkowska, M. (eds.), 2017. „The Polish 50+ generation in the European context: activity, health and well-being. Results from the SHARE survey” („Pokolenie 50+ w Polsce na tle Europy: aktywność, zdrowie i jakość życia. Wyniki na podstawie badania SHARE”), CenEA (in Polish).
- Siegrist, J., Li, J., Montano, D., 2014. “Psychometric properties of the effort-reward imbalance questionnaire”. Düsseldorf University.
- Siegrist, J., Starke, D., Chandolab, T., Godinc, I., Marmot, M., Niedhammer, I., Peter, R., 2004. “The measurement of effort-reward imbalance at work: European comparisons”, Social Science & Medicine, 58, 1483-99.
- Siegrist, J., Wahrendorf, M., 2011. “Quality of Work, Health and Early Retirement: European Comparisons”, in: Börsch-Supan, A., Brandt, M., Hank, K., Schröder, M. (eds.). “The Individual and the Welfare State: Life Histories in Europe”. Springer Berlin Heidelberg.
- Wahrendorf, M., Siegrist, J., 2011. “Working conditions in midlife and participation in voluntary work after labour market exit”, in: Börsch-Supan, A., Brandt, M., Hank, K., Schröder, M. (eds.). “The Individual and the Welfare State: Life Histories in Europe”. Springer Berlin Heidelberg.
Examining Social Exclusion among the 50+ in Europe – Evidence from the Fifth Wave of the SHARE Survey
Though intuitive, the concept of social exclusion is complex and hard to measure. Recently, however, we have witnessed policymakers and international institutions increasingly pay attention to better understand material and social distress and to identify the means to improve a broadly defined standard of living. In this brief, we summarize some of the results and conclusions from a recently published First Results Book based on the latest data from the Survey of Health, Ageing and Retirement in Europe (SHARE). We discuss the approach adopted to measure material and social deprivation, and the subsequent identification of risk of social exclusion. We show that Europeans increasingly value the quality of their social life as they grow older and that factors, such as worsening health, unmet long-term care needs, loneliness or lack of social cohesion are important determinants of social exclusion among the 50+ population. If socio-economic policies are to respond effectively to the needs of older Europeans, then broader aspects of their lives need to be taken into account and public policy should go beyond simple targets of income-defined poverty.
The Survey of Health Ageing and Retirement in Europe (SHARE) is an international research project focused on the European 50+ population, and combines information on key areas of life including health, labour market activity, financial situation, social involvement as well as family and social networks. The fifth wave of this panel study took place in 2013 with detailed interviews conducted in 15 European countries. The survey included a special set of questions aiming to improve the understanding of the degree of financial difficulties faced by the 50+, and to address the question of the extent of social exclusion in different European countries. The First Results Book documenting details of the survey has just been published by the international research team involved in the SHARE project. In this brief, we discuss some key results reported in this publication with focus on the analysis of deprivation and social exclusion in Europe among the 50+.
Capturing a Complex Concept of Social Exclusion in Socio-Economic Data
In recent years, the notion of “social exclusion” has been gaining importance as a reference in academic and policy circles with regards to the goals and conduct of socio-economic policy. In fact, in the Europe 2020 strategy, the European Union has made a formal commitment to “recognise the fundamental rights of people experiencing poverty and social exclusion, enabling them to live in dignity and take an active part in society” (European Commission, 2010). Yet, while the concept has an intuitive appeal, the approach to its measurement and analysis has been far from formalised and continues to leave room for a high degree of arbitrariness. This flexibility in the treatment of social exclusion, given the nature of the concept, may seem necessary and in fact desired, but at the same time requires a lot of care at the level of analysis and caution with regard to conclusions drawn from it.
The recent increase in the popularity of broad measures of financial circumstances, going beyond the simple income-based poverty indicators, reflects a number of limitations of the latter as far as it reflects overall material conditions and welfare of individuals. These limitations may be particularly important in the case of older individuals, for whom material wellbeing will be strongly affected by health status or disability, as well as by the extent of accumulated assets at their disposal (e.g. Laferrère and Van den Bosch, 2015; Bonfatti et al., 2015). With this in mind, the fifth wave of the SHARE survey was enriched with a set of additional questions aimed at identifying different sources of deprivation that 50+ individuals are especially exposed to. Based on available data we developed two SHARE-specific measures to assess material and social aspects of deprivation, which were further combined into a single indicator of social exclusion. 13 items from the SHARE questionnaire, exploring affordability of basic needs and financial difficulties among SHARE respondents, were brought together into an aggregate indicator of material conditions (Bertoni et al. 2015). The measure of social deprivation was derived from 15 SHARE items investigating social isolation, quality of neighbourhood and social involvement (Myck et al. 2015). In both cases, so-called hedonic weights were applied to individual items (weights based on the relationship of deprivation items with life satisfaction measure). Based on the threshold of the 75th percentile of total distribution of each of the two indices, individuals with high levels of deprivation in both dimensions were classified as at risk of social exclusion. The scientific value of developed measures has been validated by Najsztub et al. (2015), who found a good compliance in the cross-country variation of material and social deprivation and with common welfare indicators, such as the Human Development Index or income per capita.
Ageing and Social Exclusion among Older Europeans
Comparing material and social deprivation between those aged 50-64 years old and respondents aged 65+ shows that while the level of social deprivation is higher for the older group, the opposite is true for material deprivation (Myck et al. 2015). This suggests that social deprivation grows with age; on the one hand because of increased isolation of older people, and on the other, because older individuals may value their social circumstances more. This conclusion is supported in Shiovitz-Ezra (2015), who reports that, with regards to loneliness, social cohesion and neighbourhood quality play an increasingly important role among older respondents.
Figure 1 Proportion of Individuals at Risk of Social Exclusion by Country
Source: Myck et al. (2015)
When analysing country variation of the two-dimensional indicator of being at risk of social exclusion, we can see that the proportion of the 50+ population exposed to this risk is the highest in Estonia (27.1%), Israel (25.5%) and Italy (23.1%; see Figure 1). On the other hand, countries with the lowest proportion of individuals at risk of social exclusion are Denmark, Sweden and Switzerland. In these countries the proportion is lower than 4%. Naturally, there is important variation in the risk of exclusion also within countries. For example, the results of Hunkler et al. (2015) show that compared to a native born, migrants suffer much higher degree of exclusion in their present country, which, to a lesser extent, is also true for their children.
An analysis of factors that affect the risk of social exclusion reveals that higher education, being employed or retired, and living with a partner substantially limit this probability (Myck et al., 2015). There is also a strong correlation between social exclusion and poor health status. Older people in poor health and those with limited ability to carry out activities of daily living are more vulnerable to both material and social deprivation (Laferrère and Van den Bosch, 2015). People requiring long-term care but reporting unmet needs in this domain are more likely to suffer from deprivation in the social dimension. Importantly from a policy point of view, Bertoni et al. (2015) provide evidence that eyesight and hearing loss contribute to a higher probability of social exclusion, and among the oldest old lead to reduced actual social participation.
Conclusion
Since the importance of different aspects of social life increases when people grow older, policy instruments targeted at income-defined poverty will be ineffective in addressing important aspects of older people’s welfare. It therefore seems important that broader aspects of everyday life are taken into account when constructing socio-economic policies aimed at reducing social exclusion among older Europeans.
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References
- Adena, M., Myck, M., Oczkowska, M. (2015) Material deprivation items in SHARE Wave 5 data: a contribution to a better understanding of differences in material conditions in later life. In: Börsch-Supan et al. (2015).
- Bertoni, M., Cavapozzi, D., Celidoni, M., Trevisan, E. (2015) Development and validation of a material deprivation index. In: Börsch-Supan et al. (2015).
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