Can heterogeneity in reporting behavior explain the gender gap in self-assessed health status?

Dilek Basar and Mehmet A. Soytas

This paper explains the gender differences in self-assessed health status by providing a theoretical identification mechanism through a dynamic structural model which allows for heterogeneity in discount factors of individuals. Theoretical predictions are empirically tested and estimation results support the structural model implications. The authors conclude that accounting for heterogeneity in individual discount factors explains a significant portion of the gender gap in self-assessed health status.

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Year of publication:	[2018]
Authors:	Basar, Dilek ; Soytas, Mehmet A.
Publisher:	Kiel : Kiel Institute for the World Economy
Subject:	Gender \| self-assessed health status \| discount factor heterogeneity \| dynamic structural model \| ordinal generalized linear model estimation \| Gesundheit \| Health \| Geschlecht