Relative Deprivation,Satisfying Rationality,and Support for Redistribution

Why do individuals support redistribution? Many studies have investigated the factors that influence support for redistribution; however, none have confirmed the role of income satisfaction. The aim of this study is to explore the role of income satisfaction in its support of the mechanism for redistribution. In this study, I suggest relative deprivation theory and the concept of satisfying rationality , as both give income satisfaction a theoretical position. Based on this framework, I argue that income satisfaction could be an indicator of relative deprivation and is understood as the basis of rational action. Specifically, I suggest the mechanism of relative deprivation that a feeling of unfairness weakens income satisfaction, and deterioration in income satisfaction leads individuals to support redistribution. To support this argument, I conduct multilevel path analysis using World Value Survey 6 waves focusing on the OECD countries. I first examine the direct effect of income satisfaction on support for redistribution and find a statistical association between income satisfaction and support for redistribution. Then, I check the relationship between income satisfaction and feeling of unfairness to validate income satisfaction as an indicator of relative deprivation. These findings imply that scholars need to pay more attention to the substantial role of individuals’ subjective reaction to the objective economic conditions.     

The Role of European Welfare States in Explaining Resources Deprivation

In a previous paper in this journal (Headey etal., 2000) a comparison was made between threeso-called `best cases' of welfare regime types,the `Liberal' US, `the `Corporatist' Germanyand the `Social-Democratic' Netherlands. Themain conclusion was that the Social-Democraticwelfare state performed best on nearly allsocial and economic indicators that wereapplied. That paper was based on the ten-yeardatasets drawn from the national socio-economicpanel studies. For this paper we use the uniquecomparative panel dataset of the EuropeanCommunity Household Panel. At the time ofresearch, only three waves of data covering the1994–96 period were available. Instead of threecountries representing three different welfarestate types as in the earlier paper we covertwelve countries allowing us to distinguish afourth Southern or Mediterranean welfare regimetype and to compare the performance of the fourregimes. Compared to the Headey's et al. paperwe focus on the comparative analysis of thelevel of deprivation and pay less attention toincome poverty and inequality. Because weconsider deprivation to be part of the conceptof social exclusion (see also Atkinson et al.,2002) our results also provide evidence on howwelfare regimes across the EU cope with socialexclusion. We conclude that theSocial-Democratic welfare state does a good jobof preventing income poverty but performs lesswell in equalising levels of deprivation. Ourresults also show that the immature Southernwelfare states perform worse with respect topreventing deprivation. Trying to explainlevels of deprivation by estimating Tobit panelregressions it turned out that the impact ofregime type remains significant though limited.Common, `structural' disparities between thecountries and regimes in terms of economicwelfare, the demographic structure, and theemployment situation explain most of thevariance across countries.     

Understanding the socio-economic distribution of multiple deprivation: An application of self-organising maps

In this paper we seek to contribute to recent efforts to develop and implement multi-dimensional approaches to social exclusion by applying self-organising maps (SOMs) to a set of material deprivation indicators from the Irish component of EU-SILC. The first stage of our analysis involves the identification of sixteen clusters that confirm the multi-dimensional nature of deprivation in contemporary Ireland and the limitations of focusing solely on income. In going beyond this mapping stage, we consider both patterns of socio-economic differentiation in relation to cluster membership and the extent to which such membership contributes to our understanding of economic stress. Our analysis makes clear the continuing importance of traditional forms of stratification relating to factors such as income, social class and housing tenure in accounting for patterns of multiple deprivation. However, it also confirms the role of acute life events and life cycle and location influences. Most importantly, it demonstrates that conclusions relating to the relative impact of different kinds of socio-economic influences are highly dependent on the form of deprivation being considered. Our analysis suggests that debates relating to the extent to which poverty and social exclusion have become individualized should take particular care to distinguish between different kinds of outcomes. Further analysis demonstrates that the SOM approach is considerably more successful than a comparable latent class analysis in identifying those exposed to subjective economic stress.     

Is Economic Policy Uncertainty Related to Suicide Rates? Evidence from the United States

The main objective of this paper was to see whether different countries around the world show differences in their sustainability levels as captured in the indicators from the Sustainable Society Index (SSI, Van de Kerk and Manuel in Ecol Econ 66:228–242, 2012) according to their level of income. To do so, the X-STATIS and CO-STATIS multivariate techniques were employed. With these methods, our sample of 151 countries and 21 indicators can be jointly represented along four time periods. The results obtained permit us to visualize that the groups of countries by income levels show differences in some of the variables from the SSI, because of the lack of proximities between those variables and the countries. Moreover, with the X-STATIS technique, the possible evolution of the countries or indicators over time can be represented, and with CO-STATIS, the relations between the social, economic and environmental aspects can be shown as well. From our results we were able to deduce that, on the one hand, social and economic indicators, such as Public Debt or Employment, are associated with countries having high and upper-middle incomes, for example, Chile, Israel, Malta, Kuwait, Saudi Arabia, Oman, Spain, Portugal, France, Poland and Czech Republic. On the other hand, countries with low and lower-middle incomes are more associated with environmental issues. Also, after finding that the differences between the countries by income levels are mainly caused by the economic indicators, we carried out two CO-STATIS analyses, one for social and economic variables, and the other for economic and environmental variables. These findings led us to deduce that, generally, the social and economic indicators are not related to each other, nor are the economic indicators related to the environmental ones. However, for some of the countries individually both relations may be possible.     

On ‘Consistent’ Poverty

The measurement of poverty as ‘consistent’ poverty offers a solution to one of the primary problems of poverty measurement within Social Policy of the last three decades. Often treated as if they were synonymous, ‘indirect’ measures of poverty, such as low income measures, and ‘direct’ measures, such as indices of material deprivation, identify surprisingly different people as being poor. In response to this mismatch, a team of Irish researchers put forward a measure which identified respondents in as being in poverty when they experienced both a low standard of living, as measured by deprivation indicators, and a lack of resources, as measured by a low income line. Importantly, they argued that the two measures required an equal weight. In this paper, I present a reconsideration of the consistent poverty measure from both conceptual and empirical perspectives. In particular, I examine the claim that low income and material deprivation measures should be given an ‘equal weight’. I argue that, from a conceptual perspective, the nature of the indicators at hand means that a deprivation-led measurement approach might be understood to align with the definition of poverty which Nolan and Whelan outline and, from an empirical perspective, that it is the material deprivation measure—and not the low income measure—which is particularly effective in identifying individuals at risk of multiple forms of deprivation. However, I argue that greater attention needs to be given to the question of whether indicators of material deprivation provide a sufficient measure of material poverty and suggest that advancing the measurement of material deprivation beyond its relatively rudimentary state represents an important priority for poverty research.     

Polarization or “Squeezed Middle” in the Great Recession?: A Comparative European Analysis of the Distribution of Economic Stress

This paper analyses variation in the impact of the Great Recession on economic stress across income classes for a range of advanced European countries. Our analysis shows Iceland, Ireland and Greece to be quite distinctive in terms of increases in their multidimensional income, material deprivation and economic stress profiles. Between 2008 and 2012 these countries moved from being predictably located within anticipated welfare regimes to becoming clear outliers. For this set of counties, each of which was exposed to different but severe forms of economic shock, trends in income class polarisation versus middle class squeeze were variable. Each exhibited substantial increases in levels of economic stress. However, changes in the pattern of income class differentiation were somewhat different. In Iceland a form of middle class squeeze was observed. For Ireland income class polarization did not exclude middle class squeeze. Greece came closest to fitting the polarization profile. Changes in the distribution of household equivalent income had no effect on stress levels once the impact of material deprivation was taken into account. Changes in levels of material deprivation played a significant role in accounting for changing stress levels but only for the three lowest income classes. These findings bring out the extent to which the impact of the Great Recession on the distribution of economic stress across classes varied even among the hardest-hit countries. They also serve to highlight the advantages of a multidimensional approach that goes beyond reliance on income in seeking to understand the impact of such shocks.     

Understanding material deprivation: A comparative European analysis

In this paper, taking advantage of the inclusion of a special module on material deprivation in EU-SILC 2009, we provide a comparative analysis of patterns of deprivation. Our analysis identifies six relatively distinct dimensions of deprivation with generally satisfactory overall levels of reliability and mean levels of reliability across countries. Multi-level analysis based on 28 European countries reveals systematic variation in the importance of within and between country variation for a range of deprivation dimensions. The basic deprivation dimension is the sole dimension to display a graduated pattern of variation across countries. It also reveals the highest correlations with national and household income, the remaining deprivation dimensions and economic stress. It comes closest to capturing an underlying dimension of generalized deprivation that can provide the basis for a comparative European analysis of exclusion from customary standards of living. A multilevel analysis revealed that a range of household characteristics and household reference person socio-economic factors were related to basic deprivation and controlling for contextual differences in such factors allowed us to account for substantial proportions of both within and between country variance. The addition of macro-economic factors relating to average levels of disposable income and income inequality contributed relatively little further in the way of explanatory power. Further analysis revealed the existence of a set of significant interactions between micro socio-economic attributes and country level gross national disposable income per capita. The impact of socio-economic differentiation was significantly greater where average income levels were lower. Or, in other words, the impact of the latter was greater for more disadvantaged socio-economic groups. Our analysis supports the suggestion that an emphasis on the primary role of income inequality to the neglect of differences in absolute levels of income may be misleading in important respects.     

Material Deprivation and Working Poor in Hong Kong

In-work poverty is a growing problem in many developed economies. In Hong Kong, there were 200,700 working poor households in 2016, and approximately half of the total poor population in Hong Kong was living in those working poor households. A growing body of literature has examined the problem of the working poor, but most studies have used relative income as a measure of poverty. In this paper, we adopt the material deprivation approach for assessing the poverty situation of in-work poverty households in Hong Kong. We have interviewed 3565 workers in Hong Kong during a survey conduct in 2016. We compare the results of the material deprivation approach with those of the income poverty approach and evaluate the adequacy of the official income poverty line in gauging the situation of in-work poverty. Our findings reinforce existing studies indicating that deprivation offers an important complement to the income poverty line in poverty analysis. Our results show that there is a moderate overlap between workers identified as poor by the deprivation approach and by the income poverty line. And these two groups of workers have very different profiles. The results provide important policy implications for alleviating poverty among the working poor in Hong Kong.

     

Is poverty multidimensional? A comparison of income and asset based measures in five Southern African countries.

This paper contests the major emphasis placed on the multidimensional nature of poverty measurement. Instead, it argues that poverty pictures created by different measures and at different units of analysis tend to converge. This argument is derived from a comparison of poverty pictures created using income and asset-based measures at the national and household level in five South African Development Community countries. Although multidimensional measures have value in illuminating subtle differences, the findings indicate a single dimension of poverty that runs throughout all the measures and levels of analysis. However, despite the single poverty picture provided by different measures, the abandonment of these different measures is not supported. Multidimensional measures provide insight into particular elements of poverty that is useful and relevant to poverty interventions.     

Fuzzy Measures of Longitudinal Poverty in a Comparative Perspective

In this paper we present a methodology for the study of longitudinal aspects of monetary and multi-dimensional poverty, and apply this in a multi-country comparative context. The conventional poor/non-poor dichotomy is replaced by defining poverty as a matter of degree, determined by the place of the individual in the income distribution. The same methodology facilitates the inclusion of other dimensions of deprivation into the analysis: by appropriately weighting indicators of deprivation to reflect their dispersion and correlation, we can construct measures of non-monetary deprivation in its various dimensions. An important contribution of the paper is to identify rules for the intersection and union of fuzzy sets appropriate for the study of poverty and deprivation. These rules allow us to meaningfully study the persistence of poverty and deprivation over time. We establish the consistency of the approach when applied to a time sequence of any length. We can thus study longitudinally over time a whole range of indicators of poverty and deprivation, from cross-sectional monetary poverty rates to multi-dimensional indicators of deprivation: in particular, we propose the new “Fuzzy At-persistent-risk-of-poverty rate”, and compare it with the corresponding Laeken indicator adopted by Eurostat.     

Cultural barriers in migration between OECD countries

This paper uses a unique set of new indicators enabling us to test the effects of cultural barriers on migration between OECD countries. Using data on migration flows between 22 OECD countries over the period 1990–2003, we find strong evidence for the negative effect of cultural differences on international migration flows. Cultural barriers do a much better job in explaining the pattern of migration flows between developed countries than traditional economic variables such as income and unemployment differentials.     

Good Job,Good Life? Working Conditions and Quality of Life in Europe

Cross-national comparisons generally show large differences in life satisfaction of individuals within and between European countries. This paper addresses the question of whether and how job quality and working conditions contribute to the quality of life of employed populations in nine strategically selected EU countries: Finland, Sweden, the UK, the Netherlands, Germany, Portugal, Spain, Hungary, and Bulgaria. Using data from the European Quality of Life Survey 2003, we examine relationships between working conditions and satisfaction with life, as well as whether spillover or segmentation mechanisms better explain the link between work domain and overall life satisfaction. Results show that the level of life satisfaction varies significantly across countries, with higher quality of life in more affluent societies. However, the impact of working conditions on life satisfaction is stronger in Southern and Eastern European countries. Our study suggests that the issue of security, such as security of employment and pay which provides economic security, is the key element that in a straightforward manner affects people’s quality of life. Other working conditions, such as autonomy at work, good career prospects and an interesting job seem to translate into high job satisfaction, which in turn increases life satisfaction indirectly. In general, bad-quality jobs tend to be more ‘effective’ in worsening workers’ perception of their life conditions than good jobs are in improving their quality of life. We discuss the differences in job-related determinants of life satisfaction between the countries and consider theoretical and practical implications of these findings.     

Inequality, Wealth and Health: Is Decreasing Income Inequality the Key to Create Healthier Societies?

The idea that the level of stratification of societies contributes to the well-being of their members is gaining popularity. We contribute to this debate by investigating whether reducing inequalities in the income distribution of societies is a strategy for improving population health, especially appropriate for those countries that have reached the limits of economic growth. We test this idea on a dataset covering 140 countries and 2360 country-year observation between 1987 and 2008 and formulate hypotheses separately for countries with different level of economic development. We indeed found that countries with higher levels of income inequality also have lower levels of life expectancy (our measure of population health), and this result was consistent both in cross-sectional and longitudinal analyses. However, the relationship was found only among low- and middle-developed countries. In the group of high-developed countries, the relationship between income inequality and life expectancy was non-significant, which contradicts the literature. Expectations on the relationship between a country’s wealth and health were confirmed: economic growth does contribute to improving population health, but this effect is weaker in more economically developed countries. These results imply that a decrease in a country’s income inequality parallel with an increase in its wealth can help to improve health in economically lesser-developed countries, but not in high-developed countries.     

Gender and Multidimensional Poverty in South Africa: Applying the Global Multidimensional Poverty Index (MPI)

Recent work has shown that the gender gap in income poverty has widened in post-apartheid South Africa even though overall poverty levels have declined. One of the main criticisms of money-metric studies of gendered poverty differences is that income is only one dimension of poverty and that other measures of welfare may better reflect the relative well-being of women and female-headed households. This article presents a multidimensional approach to measuring the gender poverty gap in post-apartheid South Africa. Using data from the 2008 wave of the South African National Income Dynamic Study, the internationally comparable multidimensional poverty index (the MPI) is used to estimate gender differences in a number of different achievements. The findings suggest that the multidimensional gender poverty gap is similar to the poverty gap measured by the conventional money-metric approach at several national poverty lines. However, the MPI poverty differential between female- and male-headed households is slightly narrower than the income poverty gap between these two household types. In order to explore these findings further, the paper decomposes the components of multidimensional poverty by gender and for both female- and male-headed households. The paper concludes by considering how greater investments in health care delivery and in basic services, particularly in rural areas, may yield progress towards gender equality.     

Is Inequality a Latent Construct? An Assessment of Economic Inequality Indicators and Their Relation with Social Cohesion in Europe

In this article, we analyse the relation between different economic inequality indicators and social cohesion. Previous research usually narrows down economic inequality to income inequality, or distinguishes several types of economic inequality. Little attention has until now been given to how different aspects of economic inequality might be related to each other and can have an effect on social cohesion. This article analyses several indicators of economic inequality and makes a distinction between indicators measuring income inequality, poverty, economic strain and unequal distributions of wealth. Arguing that these indicators represent different aspects of inequality, we hypothesise that they cannot be reduced to one latent concept of inequality and have specific relations with social cohesion. In order to test this hypothesis, we conducted an exploratory factor analysis. This resulted in two different factors: one associated with economic hardship, and one associated with imbalances in market outcomes. This would imply that inequality indicators can be classified into two underlying concepts. Secondly, we related the factor scores of the two latent concepts to the social cohesion indicators via regression analyses. This paper focuses on European countries and uses pooled data from the European Social Survey (period 2006–2012), in combination with macro-level data drawn from the OECD, Eurostat and the World Bank. The results demonstrate that the strength of the link between inequality and citizens’ attitudes depends on the type of inequality indicator we analyse: only the factor economic deprivation can be significantly linked to social cohesion.     

The National Work–Life Balance Index©: The European Case

More than 5 years since the outbreak of the global financial crisis, a flurry of evidence is emerging on the effects of the ensuing economic downturn on unemployment and poverty rates in rich countries, but less is known about cross-country differences in subjective assessments of the crisis and whether adults in households with children were affected to a greater extent. This paper investigates differences in the perceived impact of the economic crisis between adults in households with and without children in 17 European countries, using data from the Life in Transition Survey 2010 in a multilevel modelling framework. It also explores differences in the coping strategies that households adopted to deal with the decline in income or economic activity. Everything else being equal, perceptions of the crisis were more widespread in countries with higher rates of child poverty, lower economic growth and lower GDP per capita. Across countries, perceptions of the crisis closely trailed subjective indicators of financial difficulties from other international surveys conducted in 2010. Adults in households with children were more likely to report an impact of the crisis, with larger differences in countries with higher rates of monetary child poverty. Adults in households with children also adopted a greater variety of coping strategies than the rest, prioritizing expenditure on basic necessities, while cutting back on luxuries and holidays. Nevertheless, many still reported reduced consumption of staple foods as a result of economic difficulties.     

A Multidimensional Approach to Measuring Quality of Employment (QoE) Deprivation in Six Central American Countries

This paper proposes a methodology for measuring Quality of Employment (QoE) deprivation from a multidimensional perspective in six Central American countries (Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama) using a dataset specifically designed to measure employment conditions. Building on previous work on multidimensional poverty and employment indicators, the paper uses the Alkire/Foster (AF) method to construct a synthetic indicator of the QoE at an individual level. It selects four dimensions that must be considered as essential to QoE deprivation: income, job stability, job security and employment conditions. These dimensions then subdivide into several indicators, a threshold for each indicator and dimension is established before defining an overall cut-off line that allows for the calculation of composite levels of deprivation. The results generated by this indicator show that Central American countries can be divided into three distinct and robust performance groups in terms of their QoE deprivation. Overall, approximately 60% of the deprivation levels are attributable to non-income variables, such as occupational status and job tenure. The methodology used can allow policymakers to identify and focus on the most vulnerable workers in a labour market and highlights the fact that having a formal written contract is no guarantee of good job quality, particularly in the case of women.

     

Poverty,Inequality and Deprivation in South Africa: An Analysis of the 1993 SALDRU Survey

This paper analyses poverty and inequality in South Africa based on data from a comprehensive multi-purpose household survey undertaken in 1993 to provide baseline statistics on poverty and its determinants to the new government. The paper shows that South Africa has among the highest levels of income inequality in the world and compares poorly in most social indicators to countries with similar income levels. Much of the poverty in the country is a direct result of apartheid policies that denied equal access to education, employment, services, and resources to the black population of the country. As a result, poverty has a very strong racial dimension with poverty concentrated among the African population. In addition, poverty is much higher in rural areas, and particularly high in the former homelands. Poverty among female-headed households and among children is also higher than average. Moreover, poverty is closely related to poor education and lack of employment. The poor suffer from lack of access to education, quality health care, basic infrastructure, transport, are heavily indebted, have little access to productive resources, and are heavily dependent on remittances and social transfers, particularly social pensions and disability grants. The paper uses an income-based definition of poverty for most of the analysis. In addition, it develops a broad-based index of deprivation including income, employment, wealth, access to services, health, education, and perceptions of satisfaction as its components. While on average the two indicators correspond fairly closely, the income poverty measure misses a considerable number of people who are severely deprived in many of the non-income measures of well-being. This group of severely deprived not identified by the income poverty measure consists predominantly of Africans living in rural areas, concentrated particularly in the province of KwaZulu/Natal.     

Poverty in Ireland in Comparative European Perspective

In this paper we seek to put Irish poverty rates in a comparative European context. We do so in a context whereby the Irish economic boom and EU enlargement have led to increasing reservations being expressed regarding rates deriving from the EU ‘at risk of poverty’ indicator. Our comparative analysis reports findings for both overall levels of poverty and variation by household reference person characteristics for this indicator and a consistent poverty measure for Ireland, the UK and five smaller European countries spanning a range of welfare regimes. Our findings demonstrate that the distinctiveness of Ireland’s situation lies not in the overall levels of poverty per se but in the very high penalties associated with being in a household where the household reference person is a lone parent or excluded from the labour market.     

Does Relative Deprivation Matter in Developing Countries: Evidence from Six Transition Economies

Existing evidence on whether relative status is an important determinant of well-being has two key features: it is mainly derived from high income countries, and it relies on relative deprivation measures constructed by the researchers, rather than being reported by the respondents. The need to construct relative deprivation measures imposes strong assumptions with respect to obvervability of relative deprivation. This paper adds evidence on the importance of social comparisons based on self-reported relative status assessments, which obviates the need to impose observability assumptions. The underlying survey data has the added benefit of coming from six transition economies at different levels of economic development, making it possible to explore the role of social comparisons at low income levels. Interviewer’s observations of the household’s relative deprivation are also employed to address the endogeneity concerns associated with using self-reported relative status measures. The results suggest that relative deprivation is indeed a welfare-relevant concern, even in the poorest countries in Eastern Europe. Among multiple reference groups available in the data, local social comparisons appear to be most salient.