Estimating worldwide life satisfaction

Whilst studies of life satisfaction are becoming more common-place, their global coverage is far from complete. This paper develops a new database of life satisfaction scores for 178 countries, bringing together subjective well-being data from four surveys and using stepwise regression to estimate scores for nations where no subjective data are available. In doing so, we explore various factors that predict between-nation variation in subjective life satisfaction, building on Vemuri and Costanza's (Vemuri, A.W., & Costanza, R., 2006. The role of human, social, built, and natural capital in explaining life satisfaction at the country level: toward a National Well-Being Index (NWI). Ecological Economics, 58:119-133.) four capitals model. The main regression model explains 76% of variation in existing subjective scores; importantly, this includes poorer nations that had proven problematic in Vemuri and Costanza's (Vemuri, A.W., & Costanza, R., 2006. The role of human, social, built, and natural capital in explaining life satisfaction at the country level: toward a National Well-Being Index (NWI). Ecological Economics, 58:119-133.) study. Natural, human and socio-political capitals are all found to be strong predictors of life satisfaction. Built capital, operationalised as GDP, did not enter our regression model, being overshadowed by the human capital and socio-political capital factors that it inter-correlates with. The final database presents a stop-gap resource that, until robust surveys are carried out worldwide, allows comparisons of subjective life satisfaction between nations to be made with reasonable confidence.     

The role of natural capital in supporting national income and social welfare

Using life satisfaction as a proxy for social welfare, this study contributes to the extant literature by empirically demonstrating that natural capital contributes to social welfare, functioning in part through increasing national income and in part through its direct effect on life satisfaction; the direct effect is approximately 40% greater than the indirect effect. This suggests that the true welfare benefits of natural capital may not be adequately reflected in conventional economic data and, therefore, studies seeking to evaluate the contribution of natural capital to human well-being should consider employing data sets that capture subjective elements of welfare. The magnitudes of the reported marginal effects of natural capital on social welfare, however, are small. This is perhaps due to the fact that (1) there are shortcomings in the measure of natural capital; (2) life satisfaction effects are unlikely to reflect the poorly understood benefits that natural capital provides; and (3) keystone species (such as mosquitoes) and integral ecosystems (such as wetlands) may be negatively associated with life satisfaction, even though such components of natural capital are vitally important to sustaining ecosystems and human life     

Equivalence Scales in an Intertemporal Setting with an Application to the Former West Germany

Equivalence scales provide answers to questions like how much a household with two children needs to spend compared to a couple to attain the same welfare level. These are important questions for child allowances, social benefits and to assess the cost of children over the life-cycle for example. We discuss equivalence scales in an intertemporal setting with uncertainty. To estimate equivalence scales we use a panel from German households (GSOEP) containing subjective data on satisfaction with life and satisfaction with income to represent the welfare level. Because satisfaction is measured on a discrete scale we use limited dependent variable models for panel data in estimation. Using satisfaction with life data we find that larger households do not need any additional income to be as satisfied as a couple. Using satisfaction with income, however, yields equivalence scales that increase with household size.     

Media use and life satisfaction: the moderating role of social events

This study investigates whether and how social events, which have specific impact levels and consequences, influence the relationships between the use of different types of media and media users’ life satisfaction. The impact levels refer to the number of impact factors, which characterize social events (relevance, non-polarization, certainty, radicalness and proximity). The consequences, in turn, refer to the outcomes for media users (positive or negative outcomes). The results are based on data from the Standard Eurobarometer survey (N = 73,860) as well as on data from a content analysis and cover 36 social events in 13 European countries over a time period of 6 years. The moderated moderation analysis reveals that social events only influence the effects of the use of more interactive media types (the internet and social network sites) on media users’ life satisfaction, but they don’t influence the effects of the use of less interactive media types (written press, radio and TV) on media users’ life satisfaction. In fact, social events with positive consequences increase these effects, while social events with negative consequences buffer these effects. Previous research has investigated how the use of different types of media or specific social events affect people’s life satisfaction. This study contributes to the literature by revealing how social events and media use interact and thereby influence media users’ life satisfaction.     

Valuing flood disasters using the life satisfaction approach

This paper argues that life satisfaction data can be used to value natural disasters. We discuss the strengths of this approach, compare it to traditional methods and apply it to estimate and monetize utility losses caused by floods in 16 European countries between 1973 and 1998. Using combined cross-section and time-series data, we find a negative impact of floods on life satisfaction that is sizeable, robust and significant. The estimates are comparable to price discounts found in housing markets. In an exploratory analysis, we find that risk transfer mechanisms such as mandatory insurance have large mitigating effects.     

Changes in health-related quality of life: a compensating income variation approach

This paper investigates the relationship between negative changes in health and life satisfaction, using a sample from the Household, Income and Labour Dynamics of Australia Survey. We use panel data models and estimate the life satisfaction impact of several different changes in health status to calculate the Compensating Income Variation (CIV) of them. Our work innovates with respect to the existing literature by using a more robust CIV method that takes account of the potential measurement error in income. Further, we produce the first set of monetary values for health losses using SF-6D utility values, one of the main measures used to estimate and value health change for economic evaluation. We show that negative changes in SF-6D are significantly associated with a reduction in life satisfaction, and the starting point matters: a drop of 0.1 in SF-6D score is associated with a decrease of 0.12 points in life satisfaction if the starting utility value is 0.8, but the effect is 100% higher if the SF-6D starting point is 0.7. More generally, we find that a 0.1 deterioration in SF-6D has a strong association with life satisfaction and that the CIV value is substantial (over US$ 120,000).     

How reliable and consistent are subjective measures of welfare in Europe and Central Asia?

This paper analyses the reliability and consistency of subjective well‐being measures, using the Life in Transition Survey. Drawing on two life satisfaction questions with alternative scales, our results do not reveal substantial biases in accounts of life satisfaction due to framing. Subjective individual assessments of household relative income position, on the other hand, do not appear to be reliable predictors of objective poverty or wealth. We find that subjective relative income position is only weakly correlated with objective welfare measures. There are differences in evaluations of the household's relative standing across different household members, and these differences are correlated with respondent characteristics.     

Life satisfaction and self-employment in different types of occupations

In this research, we investigate whether a positive relationship between life satisfaction and self-employment (versus paid employment) exists while simultaneously considering two occupational dimensions: white-collar versus blue-collar work and high-skilled versus low-skilled work. Using Eurobarometer data for a large number of European countries (2008–2012), our findings confirm that self-employed workers are more satisfied with their lives than paid employees are. A life satisfaction premium is also found when the self-employed and paid employees are compared within similar occupations in terms of collar type and skill level. Finally, self-employment can help to overcome low life satisfaction scores associated with blue-collar and low-skilled work.     

Healthy,Wealthy, and Happy: The Joint Role of Health and Income in Explaining Global Life Satisfaction

Based on Gallup World Poll data, we explore the heterogeneous evolution of income, health, and well-being within world population subgroups identified according to country, gender, age, and education, offering an integrated approach with wide geographical coverage. We provide novel evidence on the global “winners” and “losers” in life satisfaction between 2009 and 2018, showing that individuals located at the bottom of the global income distribution and those with poor health saw pronounced reductions in life satisfaction as opposed to populations with incomes falling between the 60th and the 80th centile and the healthy ones, who experienced significant improvements. Our results highlight that health is at least on a par with income in explaining life satisfaction, although there are considerable differences across world regions. In particular, health supersedes income in its relevance to life satisfaction, mostly in more affluent world regions, while the opposite holds in destitute parts of the world.     

家庭养老方式下的老年人生活满意度研究——基于CHARLS数据的实证分析

以CHARLS微观数据为基础,对老年人生活满意度与家庭经济支持、日常照料、沟通联系三方面自变量进行描述统计分析与Spearman相关性检验,并通过二项Logistic回归模型进行深入分析。结果表明,在家庭养老方式下,老年人的生活满意度与家庭的经济支持、日常照料、沟通联系之间存在显著关联,获得家庭经济支持的老年人生活满意度要高于未获得家庭经济支持的老年人,缺乏家人日常照料的老年人的生活满意度要低于得到家人较多照料的老年人,与家人的沟通联系较为密切的老年人有着相对更高的生活满意度。     

Heterogeneity in the Relationship between Happiness and Age: Evidence from the German Socio‐Economic Panel

This paper studies the evolution of life satisfaction over the life course in Germany. It clarifies the causal interpretation of the econometric model by discussing the choice of control variables and the underidentification between age, cohort and time effects. The empirical part analyzes the distribution of life satisfaction over the life course at the aggregated, subgroup and individual level. To the findings: On average, life satisfaction is mildly decreasing up to age 55 followed by a hump shape with a maximum at 70. The analysis at the lower levels suggests that people differ in their life satisfaction trends, whereas the hump shape after age 55 is robust. No important differences between men and women are found. In contrast, education groups differ in their trends: highly educated people become happier over the life cycle, where life satisfaction decreases for less‐educated people.     

How much does money really matter? Estimating the causal effects of income on happiness

There is a long tradition of psychologists finding small income effects on life satisfaction (or happiness). Yet the issue of income endogeneity in life satisfaction equations has rarely been addressed. The present paper is an attempt to estimate the causal effect of income on happiness. Instrumenting for income and allowing for unobserved heterogeneity result in an estimated income effect that is almost twice as large as the estimate in the basic specification. The results call for a reexamination on previous findings that suggest money buys little happiness, and a reevaluation on how the calculation of compensatory packages to various shocks in the individual’s life events should be designed.     

Happiness of economists

We study the importance of economists’ professional situation towards their life satisfaction based on a unique survey of mostly academic economists. On average, economists report to be highly happy with life. Satisfaction is positively related to spending more time on doing research. The lack of a tenured position decreases satisfaction. However, the extent to which the uncertainty created by the tenure system affects satisfaction varies with the contract terms. The effect is stronger if the contract expires in the near future or cannot be extended. Publication success has no effect if it is controlled for academic rank and the contract duration. The finding suggests that publications are rather a means to an end, for example, to acquire a tenured position. While the perceived level of external pressure also has no impact, the perceived change of pressure in recent years is positively related to economists’ life satisfaction. An explanation is that economists have accepted a high level of pressure when entering academia but are not willing to cope with the recent increase.     

HOW HAS THE CRISIS OF 2008–09 AFFECTED SUBJECTIVE WELL‐BEING? EVIDENCE FROM 25 OECD COUNTRIES

This paper uses life satisfaction data of almost 140,000 individuals in 25 OECD countries to study how changes in the rates of GDP growth, unemployment, and inflation during the macroeconomic crisis of 2008–09 have affected subjective well‐being. The relative contributions of the three macroeconomic variables to individuals’ life satisfaction are used to assess how each country performed on balance during the crisis. This approach follows a recent trend of using subjective well‐being data for monitoring economic performance and for policy appraisal. We find that in the countries most strongly affected by the crisis, the effects on an average citizen's well‐being may be of a similar magnitude as the effects of the most serious personal life events. The main driver of these effects is the drop in GDP, whose impact is aggravated by the increase of unemployment. Though the inflation rate went down in several of the countries, the effect was too weak to significantly reduce the negative effect of the changes in GDP and unemployment. The results show that GDP fluctuations are important drivers of subjective well‐being.     

Who benefits from big government? A life satisfaction approach

Which impact does government size have on life satisfaction, and how do effects of bigger government differ between income groups in society? Previous studies typically employed country averages and thus neglected possibly heterogeneous happiness effects between income groups. This paper addresses empirically the effects of government spending on subjective well-being of individuals belonging to different income groups. Our analysis is based on individual data from 25 European countries participating in the European Social Survey. In contrast to most previous studies we take account of the endogeneity between relative income position and reported life satisfaction by an instrumental variable approach. Our results suggest, first, that most government spending categories, including social protection, are on average negatively related to individual well-being. Secondly, estimated marginal effects of health, education and social protection spending at different income levels show that spending increases always have a stronger negative effect on high income groups’ well-being than on low income groups’ life satisfaction. For all government spending categories, marginal happiness effects of higher public spending are clearly negative for income groups at the top.     

Happiness, geography and the environment

In recent years, economists have been using socio-economic and socio-demographic characteristics to explain self-reported individual happiness or satisfaction with life. Using Geographical Information Systems (GIS), we employ data disaggregated at the individual and local level to show that while these variables are important, consideration of amenities such as climate, environmental and urban conditions is critical when analyzing subjective well-being. Location-specific factors are shown to have a direct impact on life satisfaction. Most importantly, however, the explanatory power of our happiness function substantially increases when the spatial variables are included, highlighting the importance of the role of the spatial dimension in determining well-being.     

Life Satisfaction Dynamics with Quarterly Life Event Data*

Using life satisfaction responses from Australian panel data we examine the questions of when and to what extent individuals are affected by major positive and negative life events, including changes in financial situation, marital status, death of a close relative, and being the victim of crime. The key advantage of our data is that we are able to identify these events on a quarterly basis rather than on the yearly basis used by previous studies. We find evidence that life events are not randomly distributed, that individuals anticipate major events to a large extent, and that they fully adapt to many events within 12 months. The estimates can be used to calculate monetary values needed to compensate individuals for life events. Using a new valuation methodology that incorporates these dynamic factors produces considerably smaller compensation valuations than those calculated using the standard approach.     

工作-家庭中心性对男性管理者工作-家庭冲突与满意度间关系的调节效应

利用125名来自不同企业的男性中高层管理人员的调查数据,探讨了企业男性中高层管理者的工作-家庭冲突对其工作满意度和生活满意度的影响,重点分析了工作-家庭中心性在其中的调节作用。结果表明:工作-家庭冲突显著影响男性管理者的工作满意度和生活满意度;工作-家庭中心性调节工作-家庭冲突与满意度的关系。     

Does transition make you happy?1

This paper analyses life satisfaction in transition countries using evidence from the World Values Survey. The paper demonstrates that individuals in transition economies on average record lower values of self‐reported satisfaction with life compared with those in non‐transition countries. A comparison across time for a smaller sample of countries shows that life satisfaction levels have returned close to pre‐transition levels in most cases, after a dip in the mid‐1990s. The socio‐economic groups that exhibit relatively higher levels of happiness include students, people with higher levels of education and those on higher incomes. Happiness declines with age until the early‐50s and is slow to recover afterwards. Self‐employed people in transition countries show a level of satisfaction as high as, or higher than, full‐time employees, in contrast to evidence from non‐transition countries. In addition, satisfaction levels are highest in those countries where standards of economic governance are most advanced and where inequality is lower.     

Religious polarization,religious conflicts and individual financial satisfaction: Evidence from India

The extant literature finds religion to be a major determinant of life satisfaction. However, in contexts characterized by religious tensions, the outcome may be very different. In particular, the literature shows that religious polarization has a major influence on some economic outcomes. The analysis presented in the paper tries to identify the impact of religious polarization on a major component of life satisfaction: financial satisfaction. The paper inquires how belonging to a minority religion and living in areas with different levels of religious polarization affect the individual satisfaction with the financial situation of the household. The results show that the members of minority religious groups are less satisfied than the members of the dominant group, and that the financial satisfaction decreases—for a given income—as the religious polarization increases.