SWB as a Measure of Individual Well-Being

Clark, Andrew E.

doi:10.1093/oxfordhb/9780199325818.013.17

Cited by 41 publications

(44 citation statements)

References 71 publications

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“…A comparative of the results from ordinal and cardinal estimation typically yield very similar results: see Ferrer-I Carbonell and Frijters [2004] and Clark [2015]. …”

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confidence: 75%

Childhood Sporting Activities and Adult Labour-Market Outcomes

Cabane¹,

Clark²

2015

Annals of Economics and Statistics

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We here ask whether childhood sport participation is positively correlated with adult labour-market outcomes. There are many potential channels for this effect, although, as usual, identifying a causal relationship is difficult. We appeal to two widely-separated waves of Add Health data to map out the correlation between childhood sports and a number of adult labour-market outcomes. We show that different types of childhood sports are associated with both managerial responsibilities and autonomy at work when adult. We take the endogeneity of sport seriously, and appeal to a variety of techniques, including the use of data on siblings, in order to obtain estimates that are as close to unbiased as possible. Last, we compare the effect of sporting activities to that of other leisure activities.*

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“…A comparative of the results from ordinal and cardinal estimation typically yield very similar results: see Ferrer-I Carbonell and Frijters [2004] and Clark [2015]. …”

mentioning

confidence: 75%

Childhood Sporting Activities and Adult Labour-Market Outcomes

Cabane¹,

Clark²

2015

Annals of Economics and Statistics

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“…I thank the referee for pointing this out. However, Clark (2016) shows that happiness and life satisfaction are strongly correlated in a sample of 25 European countries (the correlation coefficient of 0.71), while the determinants of happiness and life satisfaction are almost perfectly correlated with the correlation coefficient equal to 0.95. 1 3…”

Section: The Polish Social Diagnosis Surveymentioning

confidence: 90%

Diagnosing Unhappiness Dynamics: Evidence from Poland and Russia

Brzeziński

2018

J Happiness Stud

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This paper studies the determinants of changes in unhappiness rate (low happiness, poverty of happiness, misery) over time. We focus on two post-socialist countries, Poland and Russia, which experienced radical social and economic transformations since the collapse of communism. Using data from the Polish Social Diagnosis project for 1991-2015 and data from the Russian Longitudinal Monitoring Survey for 1994-2014, we investigate the microeconomic determinants of spectacular declines in unhappiness rates observed in the studied periods in Poland (a 56% fall in unhappiness) and Russia (a drop in the range from 46 to 75% depending on the unhappiness threshold chosen). Using a nonlinear decomposition methodology, we split the overall decreases in unhappiness rates into characteristics effects (related to the changing distribution of unhappiness-affecting factors) and coefficients effects (due to changing returns to the unhappiness-affecting factors). Our results show that unhappiness reductions in both countries were mostly driven by coefficient effects, while characteristics played a smaller, but a non-negligible role. In both countries, income growth accounted for about 15% of the total unhappiness reduction. In Russia, this effect was doubled by growing return to income as unhappiness-protecting factor, while in Poland income has been losing protecting power and in overall income had an unhappiness-increasing effect. For Russia, another strong unhappiness-protecting factor was return to employment. In case of Poland, good self-rated health and having children explains additional 15-20% of the unhappiness reduction.

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“…Which way of measuring well‐being is the best? There is no simple way of answering this question, but research has shown that life satisfaction, measures of recent positive and negative emotions (or “affect”) and eudaimonic measures (that reflect notions of mastery, relations with others, self‐acceptance and purpose) are reasonably similar, especially in terms of how they are related to a standard set of explanatory variables (Clark, ). But they are not the same.…”

Section: Current and Future Frontlinesmentioning

confidence: 99%