From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution

Binder, Martin and Coad, Alex (2011) From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution. Journal of Economic Behavior & Organization, 79 (3). pp. 275-290. ISSN 01672681

Full text not available from this repository.

Abstract

Standard regression techniques are only able to give an incomplete picture of the relationship between subjective well-being and its determinants since the very idea of conventional estimators such as OLS is the averaging out over the whole distribution: studies based on such regression techniques thus are implicitly only interested in Average Joe's happiness. Using cross-sectional data from the British Household Panel Survey (BHPS) for the year 2006, we apply quantile regressions to analyze effects of a set of explanatory variables on different quantiles of the happiness distribution and compare these results with a standard regression. Among our results we observe a decreasing importance of income, health status and social factors with increasing quantiles of happiness. Another finding is that education has a positive association with happiness at the lower quantiles but a negative association at the upper quantiles. We explore the robustness of our findings in various ways.

Item Type: Article
Keywords: Quantile regressions; Subjective well-being; Happiness; Life satisfaction; Mental well-being; BHPS
Schools and Departments: School of Business, Management and Economics > SPRU - Science Policy Research Unit
Subjects: H Social Sciences
Depositing User: Martin Binder
Date Deposited: 03 Oct 2012 15:46
Last Modified: 10 Dec 2012 16:13
URI: http://sro.sussex.ac.uk/id/eprint/40795
📧 Request an update