The Association Between Perceived Income Inequality and Subjective Well-being: Evidence from a Social Survey in Japan

Previous studies have shown that income inequality in society is negatively associated with individuals subjective well-being (SWB), such as their perceived happiness and self-rated health (SRH). However, it is not realistic to assume that individuals have precise information about actual income distribution measured by the Gini coefficient or other statistical measures. In the current study, we examined how perceived income inequality, rather than actual inequality, was associated with SWB, using cross-sectional data collected from a nationwide, Internet survey conducted in Japan (N = 10,432). We also examined how this association was confounded by individuals’ objective and subjective income status, considering the possibility that individuals with lower income status are more inclined to both perceive income inequality and feel unhappy/unhealthy. In our analysis, we focused on the perception of widening income inequality (as perceived income inequality), perceived happiness and SRH (as SWB), and household income and living standards compared with 1 year ago and compared with others (as income status). We also controlled for personality traits. We obtained three key findings: (1) perceived income inequality was negatively associated with SWB; (2) both perceived income inequality and SWB were associated with income status; and (3) the association between perceived income inequality and SWB was attenuated after controlling for income status, but not fully for perceived happiness. These findings suggest that perceived income inequality, which links actual income inequality to SWB, should be further studied.     

The impact of income inequality on self-rated general health: Evidence from a cross-national study

Previous studies report a strong negative association between income inequality and population health at the aggregate level. However, it is still in hot debate whether this ecological association indicates a genuine, causal effect of income inequality on health, as asserted by the Wilkinson hypothesis, or it simply reflects a nonlinear effect of individual income on health, as suggested by the absolute income hypothesis. Drawing data from the 2005 round of the World Values Survey, I analyze the relationship between individual income, income inequality, and self-rated general health in a multilevel framework. Results show no independent detrimental effect of country income inequality on individual self-rated general health. In contrast, self-rated general health is strongly associated with absolute material conditions both at the individual and at the country level. Therefore, this study gives more evidence to the absolute income hypothesis, i.e., the strong ecological association between income inequality and population health is more likely a reflection of the nonlinear effect of individual income on health rather than a genuine effect of income inequality.     

Does National Income Inequality Affect Individuals’ Quality of Life in Europe? Inequality,Happiness, Finances,and Health

This paper analyses the effect of income inequality on Europeans’ quality of life, specifically on their overall well-being (happiness, life satisfaction), on their financial quality of life (satisfaction with standard of living, affordability of goods and services, subjective poverty), and on their health (self-rated health, satisfaction with health). The simple bivariate correlations of inequality with overall well-being, financial quality of life, and health are negative. But this is misleading because of the confounding effect of a key omitted variable, national economic development (GDP per capita): Unequal societies are on average much poorer (r = 0.46) and so disadvantaged because of that. We analyse the multi-level European Quality of Life survey conducted in 2003 including national-level data on inequality (Gini coefficient) and economic development (GDP) and individual-level data on overall well-being, financial quality of life, and health. The individual cases are from representative samples of 28 European countries. Our variance-components multi-level models controlling for known individual-level predictors show that national per capita GDP increases subjective well-being, financial quality of life, and health. Net of that, the national level of inequality, as measured by the Gini coefficient, has no statistically significant effect, suggesting that income inequality does not reduce well-being, financial quality of life, or health in advanced societies. These result all imply that directing policies and resources towards inequality reduction is unlikely to benefit the general public in advanced societies.     

Socioeconomic Status,Income Inequality,and Health Complaints: A Basic Psychological Needs Perspective

Socioeconomic status (SES) and income inequality are now recognized as important determinants of health, and there is growing interest in uncovering the intermediary psychosocial pathways through which the socioeconomic context affects physical well-being (Marmot in The status syndrome: how social standing affects our health and longevity, Henry Holt, New York, 2004; Wilkinson and Pickett in The Spirit Level: why more equal societies almost always do better, Allen Lane, London, 2009). We adopted the applied framework of self-determination theory (SDT; Deci and Ryan in Psychol Inq 11:227–268, 2000) and hypothesized that fulfillment of the basic psychological needs for autonomy, competence, and relatedness would mediate the relationships that SES and income inequality have to self-rated health. An online community sample of American participants (N = 1,139) completed a detailed demographic survey and provided self-reports of need fulfillment and health complaints. Structural equation models controlled for impression management and self-deceptive enhancement. Controlling for sex and age, need fulfillment was predicted positively by subjective SES and objective household income and negatively by state-level income inequality; in turn, need fulfillment predicted lower levels of health complaints. These findings suggest that SDT provides a useful framework for the study of SES, income inequality, and health, and that basic psychological needs are an important mechanism through which socioeconomic contexts influence health.     

Overeducation,Skills and Wage Penalty: Evidence for Spain Using PIAAC Data

Despite well documented high levels of socioeconomic inequalities, health gradients by socioeconomic status (SES) in contemporary China have been reported to be limited. Using data from the 2010–2012 China Family Panel Studies, we reexamine associations between three sets of SES—human capital, material conditions, and political capital—and self-rated health among Chinese adults 18–70 years old, capitalizing on anchoring vignette data to adjust for reporting heterogeneity. We find strong evidence of substantial variations in reporting behaviors by education, cognition, and family wealth but not by family income or political capital. Failing to correct for reporting heterogeneity can bias the estimates of SES gradients in self-rated health as much as nearly 40 %. After vignette adjustment, we find significantly positive associations of education, family income, wealth, and political capital with self-rated health. Individuals’ cognitive capacity, however, does not predict self-rated health.     

中国农村儿童健康不平等及其影响因素研究——基于CHNS数据的经验研究

本文使用“中国家庭营养与健康调查”（CHNS）数据,测度了中国农村儿童健康不平等程度,重点计算了收入、医疗保险、母亲教育水平等因素对健康不平等的贡献。回归基础上的集中系数及其分解结果显示：我国农村地区存在亲富人的健康不平等,高收入家庭儿童的健康状况更好;健康不平等主要的贡献因素是父母亲收入、母亲教育程度、母亲工作状况、父亲身高等：收入对于儿童健康不平等的贡献最大,但不同的收人类型表现出一定的差异。父母亲的工资收入对于儿童健康不平等的贡献为正,收入不平等会扩大健康不平等;医疗保险的不平等程度不断扩大,进一步强化了健康不平等。     

Does Subjective Social Status Predict Self-Rated Health in Chinese Adults and Why?

A positive relationship between subjective social status (SSS) and health has been documented in many countries, however, many studies rely on non-representative, cross-sectional samples. Potential mechanisms underlying the association between SSS and health have been proposed but empirical investigation remains scarce. Capitalizing on nationally representative data from the 2010–2016 China Family Panel Studies (CFPS), this study examines the longitudinal association between SSS and self-rated health in Chinese adults 20–70 years old. Estimates from lagged dependent variable models confirm a linear relationship between current SSS and self-rated health two years later over a 6-year follow-up period, after adjusting for education, occupation, income, and other demographic controls. This relationship remains robust after adjusting for additional indicators of objective socioeconomic status (SES) including household wealth, education of the spouse, parental literacy, and political capital. Mediation analysis shows that a large proportion (about 60%) of this association can be explained by such psychosocial factors as future prospects, life satisfaction, and mental illness. For Chinese adults, SSS is an important predictor of health not because it is a comprehensive measure of multidimensional SES, but because of a salient psychosocial pathway.

     

与收入相关的老人健康不平等及其分解——基于中国城镇和农村的经验研究

本文使用“中国老年人健康长寿影响因素调查”（CLHLS）数据,测度了中国老人健康不平等程度,重点计算了收入、婚姻状况、居住安排等因素对健康不平等的贡献。回归基础上的集中系数及其分解结果显示：我国存在亲富人的健康不平等,高收入人群的健康状况更好;城镇地区,健康不平等主要的贡献因素为收入、婚姻状况、医疗保险、经常锻炼,居住安排对健康不平等的贡献为负。农村地区,收入因素对于健康不平等的贡献最大,这就意味着消除农村健康不平等的关键是要降低收入不平等。在城镇和农村地区医疗保险的不平等程度更甚,进一步强化了健康不平等。因此如果政策想要降低健康不平等,首先要降低穷人获得医疗保险的经济门槛,增加医疗保健服务的可及性。     

Income inequality and solidarity in Europe

This paper studies the relationship between income inequality, a macro-level characteristic, and solidarity of Europeans. To this aim, solidarity is defined as the ‘willingness to contribute to the welfare of other people’. We rely on a theoretical idea according to which feelings of solidarity are derived from both affective and calculating considerations – we derive competing hypotheses relating the extent of income inequality to these ‘underlying’ motivations for solidarity. Using data from the 1999 European Values Study (EVS), we apply multilevel analysis for 26 European countries. Controlling for household income and a range of macro-level characteristics, we find evidence that in more unequal countries people are less willing to take action to improve the living conditions of their fellow-countrymen. This is true for respondents living in both low- and high-income households. According to our theoretical framework, this finding suggests that, at least when measured in terms of ‘willingness to contribute to the welfare of other people’, feelings of solidarity seem to be influenced more strongly by affective, rather than by calculating considerations.     

Testing the relationship between income inequality and life expectancy: a simple correction for the aggregation effect when using aggregated data

In this paper, we show a simple correction for the aggregation effect when testing the relationship between income inequality and life expectancy using aggregated data. While there is evidence for a negative correlation between income inequality and a population’s average life expectancy, it is not clear whether this is due to an aggregation effect based on a non-linear relationship between income and life expectancy or to income inequality being a health hazard in itself. The proposed correction method is general and independent of measures of income inequality, functional form assumptions of the health production function, and assumptions on the income distribution. We apply it to data from the Human Development Report and find that the relationship between income inequality and life expectancy can be explained entirely by the aggregation effect. Hence, there is no evidence that income inequality itself is a health hazard.     

Female fertility history and mid-late-life health: Findings from China

China’s middle-aged and older women suffer from poorer health than men. Using national baseline data from the China Health and Retirement Longitudinal Study (CHARLS), a survey conducted from 2011 to 2012, this article applies logistic models to investigate the association between female fertility history (parity, early childbearing, late childbearing) and middle-aged and late-life health. We find that parity is related to the mid-late-life health of women. Women with four children or more are more likely to suffer from activities of daily living (ADL) impairment and poorer self-rated health than those with one to three children. Early childbearing is associated with ADL impairment; however, the correlation is mediated by socioeconomic status. Early childbearing is related to self-rated health in later life by an indirect-only mediation effect via educational attainment and personal income.     

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.     

Social Capital Inequality and Subjective Wellbeing of Older Chinese

Using longitudinal data from the China Family Panel Studies, this study provides insights on comparative wellbeing outcomes for older people who are institutionally segregated into clusters that produce uneven social capital. We present the first study that examines how institutionalized social capital inequality, measured by the social capital gap generated by hukou (household registration) status in China, affects the wellbeing of older people. Our results show that high levels of social capital inequality are associated with lower subjective wellbeing, measured by life satisfaction. This general conclusion is robust to a number of sensitivity checks including alternative ways of measuring subjective wellbeing and inequality. We also find that the negative relationship between social capital inequality and subjective wellbeing is strongest for people with a non-urban hukou living in urban areas. Our findings highlight the need for policies aimed at narrowing the social capital gap and the dismantling of institutional structures that hinder upward social capital mobility.

     

Which Inequality Makes People Dissatisfied with Their Lives? Evidence of the Link Between Life Satisfaction and Inequalities

This paper aims at establishing a clear link between different types of inequality and life satisfaction in Europe. We analyse the relationship between life satisfaction and both income inequality and inequality of opportunity using seven waves of the European Social Survey. The results show that in Europe both income inequality and inequality of opportunity reduce people’s life satisfaction. Our main results suggest that all socio-economic groups are dissatisfied with income inequality, whereas primarily low socio-economic individuals worry about inequality of opportunity. We find that expected mobility is very important in explaining the link between inequality and life satisfaction for all socio-economic groups in Europe. We advance the hypothesis that life satisfaction is conditioned by a mix of normative arguments against inequality and by the fear/possibility to lose/gain a good social position. This result complements findings on the mediating role of social mobility in the relationship with subjective well-being.     

A Cross-National Analysis of Lifespan Inequality, 1950–2015: Examining the Distribution of Mortality Within Countries

Cross-national health research devotes considerable attention to lifespan and survival rate disparities that are found between countries. However, the distribution of mortality across the world is shaped mostly by what happens within countries. We address this striking gap in the literature by modeling length-of-life inequality for individual nation-states. We use life tables from the United Nation’s (2015) World Population Prospects to estimate inequality levels for 200 countries across 13 waves between 1950 and 2015. We find that lifespan inequality is steadily declining across the world, but that each country’s level of inequality, and the rate at which it declines, vary considerably. Our models account for more than 90% of the longitudinal and cross-sectional variation in country-level lifespan inequality during the 1990–2015 period. Maternal mortality is the strongest predictor in our model, while disease prevalence, access to safe water, and health interventions figure prominently, as well. Gross domestic product per capita shows the expected curvilinear association with lifespan inequality, while primary education (both overall enrollment and gender equity in enrollment), external debt, and migration also play critical roles in shaping health outcomes. By contrast, the distribution of political and economic resources (i.e., democracy and income inequality) is less important.

     

The European 'Welfare Mix': Institutional Configuration and Distributive Outcome in Sweden and the European Union. A Longitudinal and Comparative Perspective

This paper explores the institutional configuration (the three welfare delivery systems: market, welfare state, family) and its distributional correlates (income inequality; poverty rates; inequality related to social cleavages such as social class, generation, gender, region and family). The analysis has a twofold perspective: comparative (comparing 14 EU member states) and longitudinal (comparing Sweden 1975--1995), using nations as statistical units. The European union appears to be divided in three distinct and homogeneous clusters: a Nordic cluster (Sweden, Denmark, Finland) exhibiting large social expenses, high labour market participation and weak family ties. Its distributional features are low income inequality, poverty rates and class inequality, but high levels of inequality between generations; a southern cluster (Greece, Italy, Spain, Portugal) characterised by lower welfare provisions, low employment, but strong traditional families. Its distributional features are high levels of income inequality, poverty and class inequality, but low levels of generational inequality; a central European cluster in intermediate position. UK joins the southern cluster with high levels of income inequality, poverty and class inequality.     

Does regional variation affect ecological mortality research? An examination of mortality, income inequality and health infrastructure in the Mississippi Delta

Mortality research has often focused on individual-level, socioeconomic, and demographic factors indicating health outcomes. Consistent with a recent trend in the public health field, this research examines mortality at the aggregate, contextual level. Based on Wilkinson’s relative income hypothesis, specifically being manifest through an underinvestment in social goods including health infrastructure, the focus of this study is a regional examination in the effects of income inequality on mortality at the county level. Health infrastructure is included as a mediating variable in the relationship between income inequality and mortality, relating back to Wilkinson’s work. Unlike previous research, regional differences in this relationship are examined to identify variation at the county level in health outcomes. The Mississippi Delta is an adequate test bed to examine the relationship between these variables based on its socioeconomic, demographic, and high inequality characteristics. It is hypothesized that Delta-designated counties within the three-state Delta region distinguish a significant positive relationship between income inequality and mortality, that this relationship is stronger than in non-Delta classified counties, and that health infrastructure significantly mediates the relationship between income inequality and mortality.     

Family Structure and Self-Rated Health in Adolescence and Young Adulthood

While the relationship between family structure and child well-being is well-established, little is known about the specific impact of family structure on health in adolescence and young adulthood. Using data on 12,737 respondents from Waves I and III of Add Health, we examine the association between family structure (two biological/adoptive, stepfather, and single mother families at Wave I) and self-rated health in adolescence (Wave I) and young adulthood (Wave III). We build on previous literature by investigating whether the relationship between family structure and self-rated health is mediated by demographic background, socioeconomic status, parent–child relationships, external social support, and health characteristics and behaviors, and whether the influence of these factors endures into adulthood. Overall, we find that self-rated health is reduced for respondents who lived in stepfather or single mother families during adolescence, although this effect is attenuated in young adulthood. Family structure effects at both waves are explained by socioeconomic status, social support and competence, and health characteristics and behaviors. We find little evidence that demographic background or mother–child relationships mediate the relationship between family structure and self-rated health. By young adulthood, effects of most adolescent predictors are attenuated, but health assessments are largely influenced by changes in health characteristics and behaviors, and in family type.

中国农村收入、收入差距和健康

本文利用2004年和2006年中国9个省份的家庭调查面板数据,研究收入、相对收入和农村居民健康之间的关系。发现健康状况随着个人收入的增加而改善,呈现出明显的非线性关系;收入差距对健康的滞后影响,呈现倒U型关系。此外,当基尼系数在0.387以下时,农村居民健康水平将会随着基尼系数的扩大而改善,当收入差距进一步扩大时,健康水平将受到损害。而数据显示68%的农村居民在倒U右侧,健康正受到扩大的收入差距侵蚀。     

健康状况和健康冲击对工作时间的影响

使用中国健康与养老追踪关于浙江和甘肃两省的预调查数据,估计居民健康存量状况和健康冲击对劳动工作时间的影响。研究采用三种健康状况指标:自评健康状况、四种常见慢性病和日常生活自理能力(ADL),其中自评健康状况还使用了15岁之前的健康状况做工具变量估计。基于Tob it模型的估计结果显示:只要健康状况不是太差,劳动者一般不会选择完全退出劳动力市场,健康状况较差的劳动者会适当减少工作时间。慢性病中,只有关节类的疾病对劳动时间的影响显著,其他疾病对劳动时间没有显著影响。日常生活自理能力强的人工作时间明显要长。健康冲击会显著减少劳动者的工作时间,进而减少收入。尽管男性和女性在工作小时上存在很大差异,但是估计结果显示健康存量状况和健康冲击对工作小时的影响不存在很大的性别差异。