Bringing Affect Back in: Measuring and Comparing Subjective Well-Being Across Countries

In recent years, researchers and policymakers have paid increasing attention to cross-country comparisons of subjective well-being. Whereas classical theories of quality of life emphasize the central role of affective well-being (i.e., whether a person feels good or bad), previous comparative studies have focused almost exclusively on life satisfaction (i.e., cognitive evaluations of life). This study brings affect into the comparative study of subjective well-being, constructing a new measurement instrument that captures both the affective and cognitive dimensions of subjective well-being. Using European Social Survey data and multi-group confirmatory factor analysis, we estimate latent country means for the two dimensions and compare country rankings across the two measures. The results reveal important differences in country rankings depending on whether one focuses on affective well-being or life satisfaction. We identify crucial differences among top-ranking countries and, perhaps even more importantly, considerable differences in rankings among more moderately ranking countries. In a second step, we compare and evaluate the single-item measures commonly used in previous research with the results based on our new measures. We conclude by discussing our results in relation to previous studies, and in terms of their possible implications for future research and for policymakers bent on improving national levels of subjective well-being.     

Comparing Precarious Employment Across Countries: Measurement Invariance of the Employment Precariousness Scale for Europe (EPRES-E)

Social Indicators Research - Comparing precarious employment (PE) across countries is essential to deepen the understanding of the phenomenon and to learn from country-specific experiences....     

Sociality in Diverse Societies: A Regional Analysis Across European Countries

For a long time, researchers investigate the impact of diversity on society. To measure diversity, either archival data at the national level of census data at the neighborhood level, within a single country are used. Both approaches are limited. The first approach does not allow to investigate variation in diversity within countries and the second approach misses the possibility to investigate cross national differences. The present study aims at bringing these two approaches closer together by constructing diversity measures based on the European Social Survey (ESS). The ESS is collected every 2 years since 2002 and includes individual level data that allow replicating earlier measures of ethnic, linguistic, and religious diversity for 30 European countries. Furthermore, since respondents are asked to indicate in what region they live, measured with the Nomenclature of Territorial Units for Statistics classification, it is possible to construct disaggregated measures. Comparing the new indicators with existing diversity scores leads to the following conclusions. First, the new and old measures are strongly correlated at the national level. Secondly, investigating the relationship between diversity and different kinds of sociality (interpersonal trust, institutional trust, and support for government redistribution) shows that regional diversity is more strongly related to them than diversity at the national level.     

Measuring Health: A Multivariate Approach

We examined the health status of 171 countries by employing factor analysis on various national health indicators for the period 2000–2005 to construct two new measures on health. The first measure is based on the health of individuals and the second on (the quality of) the health services. Our measures differ substantially from indicators used in previous studies on health and also lead to different rankings of countries. As rankings are not that informative without further information, we analyzed the distance between each country and the sample mean. Differences between countries are much more pronounced for our measure on health services than for our measure on the health of individuals. Using cluster analysis, we classified the countries in six homogenous groups.     

健康动态谱：一种研究非自愿移民群体迁后健康轨迹的新思路

笔者通过对国内外几种有关“非自愿移民”的定义、分类模式和政策取向的分析,发现在这些方面均缺乏对非自愿移民群体健康期望的描述和对该群体健康失衡问题的关注。笔者认为这导致了相关政策中对非自愿移民群体成员健康失衡补偿的缺失,由此提出对非自愿移民群体健康进行研究的必要性。笔者还提出了“健康动态谱”的概念及其调查方法以补充以往的研究模式．希望此种方法的实践结果能为非自愿移民群体的健康研究及补偿工作提供科学依据。     

Inequality in Life Spans and a New Perspective on Mortality Convergence Across Industrialized Countries

The second half of the twentieth century witnessed substantial convergence in life expectancy around the world. We examine differences in the age pattern of mortality in industrialized countries over time to show that inequality in adult life spans, which we measure with the standard deviation of life table ages at death above age 10 years, S₁₀, is increasingly responsible for the remaining divergence in mortality. We report striking differences in level and trend of S₁₀ across industrialized countries since 1960, which cannot be explained by aggregate socioeconomic inequality or differential external‐cause mortality. Rather, S₁₀ reflects both within‐ and between‐group inequalities in life spans and conveys new information about their combined magnitudes and trends. These findings suggest that the challenge for health policies in this century is to reduce inequality, not just lengthen life.     

Compulsory Schooling Laws and Migration Across European Countries

Educational attainment is a key factor for understanding why some individuals migrate and others do not. Compulsory schooling laws, which determine an individual’s minimum level of education, can potentially affect migration. We test whether and how increasing the length of compulsory schooling influences migration of affected cohorts across European countries, a context where labor mobility is essentially free. We construct a novel database that includes information for 31 European countries on compulsory education reforms passed between 1950 and 1990. Combining this data with information on recent migration flows by cohorts, we find that an additional year of compulsory education reduces the number of individuals from affected cohorts who migrate in a given year by 9 %. Our results rely on the exogeneity of compulsory schooling laws. A variety of empirical tests indicate that European legislators did not pass compulsory education reforms as a reaction to changes in emigration rates or educational attainment.     

Measuring Overeducation: Incidence,Correlation and Overlaps Across Indicators and Countries

The methodological debate on how to measure overeducation has been present since the introduction of the topic in the academic debate. Nevertheless, there is still no consensus on a preferred indicator. This article aims at contributing to the existing methodological debate providing systematic and cross-country evidence on the variation across overeducation measurements. Using REFLEX/HEGESCO and EULFS datasets, I provide evidence on within and across countries variation on the incidence, correlation and overlaps across the main types of objective, statistical and subjective overeducation indicators. Results suggest that worker’s self-reported indicators better cope with comparative studies, while in single-country studies objective indicators are likely to provide a more in-depth and detailed measurement. The use of statistical indicators is advised in contexts with labour markets that easily adapt to educational and employment changes, especially if these are not affected by credential inflation. However, it is advisable to use more than one indicator whenever data allows it, as different types of overeducation measurements provide different outcomes and results are likely to be complementary rather than excluding information on the overeducation phenomenon. This is especially relevant when overeducation is used as a dependent variable rather than a predictor. An initial review and discussion of the existing types of overeducation measurements and their advantages and drawbacks precedes the empirical evidence.

     

Convergence of Health Care Expenditures Across the US States: A Reconsideration

Current evidence on the convergence of health care expenditures across the US states into a single convergence club is non-existent. Against this backdrop, we use a modified panel unit root test that accounts for smooth structural changes, spanning the period of 1966–2009. The results illustrate that the ratio of the individual health care expenditures relative to the cross-sectional average is broken trend-stationary, not only in the aggregate panel, but also across all 50 US states. The findings also document that the evidence of convergence is possibly due to the convergence of personal disposable income across the US states.     

The Population Education Transition Curve: Education Gradients Across Population Exposure to New Health Risks

The salutary effect of formal education on health-risk behaviors and mortality is extensively documented: ceteris paribus, greater educational attainment leads to healthier lives and longevity. Even though the epidemiological evidence has strongly indicated formal education as a leading “social vaccine,” there is intermittent reporting of counter-education gradients for health-risk behavior and associated outcomes for certain populations during specific periods. How can education have both beneficial and harmful effects on health, and under which contexts do particular effects emerge? It is useful to conceptualize the influence of education as a process sensitive to the nature, timing of entry, and uniqueness of a new pleasurable and desirable lifestyle and/or product (such as smoking) with initially unclear health risks for populations. Developed herein is a hypothesis that the education gradient comprises multiple potent pathways (material, psychological, cognitive) by which health-risk behaviors are influenced, and that there can be circumstances under which pathways act in opposite directions or are differentially suppressed and enhanced. We propose the population education transition (PET) curve as a unifying functional form to predict shifting education gradients across the onset and course of a population’s exposure to new health risks and their associated consequences. Then, we estimate PET curves for cases with prior epidemiological evidence of heterogeneous education gradients with health-risk behaviors related to mass-produced cigarettes in China and the United States; saturated fats, sugar, and processed food diets in Latin America; and HIV infection in sub-Saharan Africa. Each offers speculation on interactions between environmental factors during population exposure and education pathways to health-risk behaviors that could be responsible for the temporal dynamics of PET curves. Past epidemiological studies reporting either negative or positive education gradients may not represent contradictory findings as much as come from analyses unintentionally limited to just one part of the PET process. Last, the PET curve formulation offers richer nuances about educational pathways, macro-historical population dynamics, and the fundamental cause of disease paradigm.     

The Distribution of Infectious Diseases and Extrinsic Mortality Across Countries

Analysis of the spatial distribution and geographical determinants of human infectious agents across countries suggests that the total number of multi-host vector-transmitted diseases provides a useful measure of the mortality environment. Pathogens of this type are difficult to eradicate because they multiply in both humans and non-human hosts and are bound to specific climatological conditions. The count index of multi-host vector-transmitted diseases that are endemic in a country is a good proxy of life expectancy and of the likelihood of epidemics. This count is useful for cross-country empirical comparisons because it is not driven by demographic and economic conditions.     

A Measure of Well-Being Across the Italian Urban Areas: An Integrated DEA-Entropy Approach

In recent years, there has been an increasing proliferation of initiatives focusing on the concept of quality of life and well-being. At the centre of these studies there is the recognizing that the GDP offers only a partial perspective of factors affecting people’s lives. Following this line of the research, this paper is aimed at computing the well-being efficiencies of a sample of Italian Province capital cities, using a methodological approach that combines data envelopment analysis (DEA) with Shannon’s entropy formula. To avoid subjectivity in choosing a representative set of variables that proxy the phenomenon under study, we rely on the theoretical framework adopted by the Italian National Institute of Statistics (ISTAT) within the equitable and sustainable well-being (BES) project. The dashboard of indicators included in the analysis are related to the Ur-BES initiative, promoted by ISTAT to implement the BES framework at cities level. In a first step of the analysis, an immediate focus on separate dimensions of urban well-being is obtained by summarizing the plurality of available indicators through the building of composite indices. Next, the adopted integrated DEA–Shannon entropy approach has permitted to increase the discriminatory power of DEA procedure and attain a more reliable profiling of Italian Province capital cities well-being efficiencies. The results show a marked duality between the Northern and Southern cities, highlighting important differences in many aspects of human and ecosystem well-being.     

Aging and Gender Health Gap: A Multilevel Analysis for 17 European Countries

Social Indicators Research - The European population is aging and their declining capacity makes older Europeans more dependent on the availability of care. Male and female health needs at older...     

Antipoverty Effects of Various Social Transfers and Income Taxes Across Countries

Social Indicators Research - Most welfare states design their tax/benefit-system to combat income poverty. This paper analyzes the effectiveness of social transfers and income taxes in alleviating...     

Satisfaction with Job and Income Among Older Individuals Across European Countries

Using data on individuals of age 50 and older from 11 European countries, we analyze two economic aspects of subjective well-being of older Europeans: satisfaction with household income, and job satisfaction. Both have been shown to contribute substantially to overall well-being (satisfaction with life or happiness). We use anchoring vignettes to correct for potential differences in response scales across countries. The results highlight a large variation in self-reported income satisfaction, which is partly explained by differences in response scales. When differences in response scales are eliminated, the cross-country differences are quite well in line with differences in an objective measure of purchasing power of household income. There are common features in the response scale differences in job satisfaction and income satisfaction. French respondents tend to be critical in both assessments, while Danish and Dutch respondents are always on the optimistic end of the spectrum. Moreover, correcting for response scale differences decreases the cross-country association between satisfaction with income and job satisfaction among workers.     

Comparing Life Satisfaction of Immigrants and Natives Across Europe: The Role of Social Contacts

Research on immigrants’ assimilation is widespread both in the U.S. and Europe. While it has been extensively studied how immigrants fare compared to natives on socio-economic indicators, few studies have focussed on immigrants’ perception of their position. In this paper we focus on comparing life satisfaction of immigrants and natives across Europe and on the role of social embeddedness. Using data from the first six rounds (2002–2012) of the European Social Survey, a repeated cross-sectional survey, we find that life satisfaction among immigrants is lower than among natives even though differences diminish over generations. For first generation immigrants part of the life satisfaction gap is explained by the lower level of social embeddedness they have compared to natives. We also find that social embeddedness is a key explanatory factor for life satisfaction for both immigrants and natives. For two out of the three indicators of social embeddedness that we consider we however find different patterns of association with life satisfaction for immigrants compared to natives.     

The Measurement of Economic, Social and Environmental Performance of Countries: A Novel Approach

This paper presents a new analytical framework for assessing spatial disparities among countries. It takes for granted that the analysis of a country’s performance cannot be limited solely to either economic or social factors. The aim of the paper is to combine relevant economic and ‘non-economic’ (mainly social) aspects of a country’s performance in an integrated logical framework. Based on this idea, a structural simultaneous equation model will be presented and estimated in order to explore the direction of the causal relationship between economic and non-economic aspects of a country’s performance. Furthermore, an exploration of the trajectory that each country has registered over time along a virtuous path will be offered. By means of a matrix persistency/transition analysis, the countries will be classified in clusters of good/bad performance. One of the most interesting conclusions concerns the inability of most countries to turn the higher educational skills of the population into greater economic performance over time. In addition, our analysis also shows that making an accurate picture record and formulating related policy aiming at environmental care is highly desirable. It is surprising that only a few countries have reached a favourable economic and environmental performance simultaneously.     

Exploring Differences in Financial Literacy Across Countries: The Role of Individual Characteristics and Institutions

We explore microdata from the OECD/INFE survey on financial literacy of adult individuals. We find considerable differences in financial literacy across countries and decompose them into a part explainable by varying individual characteristics and a remainder. We show that individual characteristics matter with regard to differences in average financial literacy, but do not fully explain the gaps. We decompose financial literacy across its distribution and directly relate it to different policies. We then correlate the unexplained differences to institutional macroeconomic variables. We find strong correlations between unexplained differences and life expectancy, social contributions rate, PISA math scores, and internet usage, suggesting room for harmonization of environments across countries to close the financial literacy gap.