Income and Happiness: New Results from Generalized Threshold and Sequential Models

32 Pages Posted: 6 Jul 2004 Last revised: 5 May 2025

See all articles by Stefan Boes

Stefan Boes

University of Lucerne

Rainer Winkelmann

University of Zurich - Statistics and Empirical Economic Research; IZA Institute of Labor Economics; Centre for Economic Policy Research (CEPR)

Abstract

Empirical studies on the relationship between income and happiness commonly use standardordered response models, the most well-known representatives being the ordered logit andthe ordered probit. However, these models restrict the marginal probability effects by design,and therefore limit the analysis of distributional aspects of a change in income, that is, thestudy of whether the income effect depend on a person's happiness. In this paper wepinpoint the shortcomings of standard models and propose two alternatives, namelygeneralized threshold and sequential models. With data of two waves of the German Socio-Economic Panel, 1984 and 1997, we show that the more general models yield differentmarginal probability effects than standard models.

Keywords: subjective well-being, ordered response models, marginal effects

JEL Classification: C25, I31

Suggested Citation

Boes, Stefan and Winkelmann, Rainer, Income and Happiness: New Results from Generalized Threshold and Sequential Models. IZA Discussion Paper No. 1175, Available at SSRN: https://ssrn.com/abstract=561724

Stefan Boes

University of Lucerne ( email )

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Lucerne, Lucerne CH - 6002
Switzerland

Rainer Winkelmann (Contact Author)

University of Zurich - Statistics and Empirical Economic Research ( email )

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CH-8001 Zurich
Switzerland
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IZA Institute of Labor Economics ( email )

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+49 228 3894 510 (Fax)

Centre for Economic Policy Research (CEPR)

London
United Kingdom

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