How Important is Methodology for the estimates of the determinants of Happiness?
AbstractPsychologists and sociologists usually interpret happiness scores as cardinal and comparable across respondents, and thus run OLS regressions on happiness and changes in happiness. Economists usually assume only ordinality and have mainly used ordered latent response models, thereby not taking satisfactory account of fixed individual traits. We address this problem by developing a conditional estimator for the fixed-effect ordered logit model. We find that assuming ordinality or cardinality of happiness scores makes little difference, whilst allowing for fixed-effects does change results substantially. We call for more research into the determinants of the personality traits making up these fixed-effects. Copyright 2004 Royal Economic Society.
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Bibliographic InfoArticle provided by Royal Economic Society in its journal The Economic Journal.
Volume (Year): 114 (2004)
Issue (Month): 497 (07)
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Other versions of this item:
- Ada Ferrer-i-Carbonell & Paul Frijters, 2002. "How important is Methodology for the Estimates of the Determinants of Happiness?," Tinbergen Institute Discussion Papers 02-024/3, Tinbergen Institute.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- I31 - Health, Education, and Welfare - - Welfare and Poverty - - - General Welfare
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