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

Dilek Basar and Mehmet Soytas ()

No 2018-25, Economics Discussion Papers from Kiel Institute for the World Economy (IfW Kiel)

Abstract: 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.

Keywords: gender; self-assessed health status; discount factor heterogeneity; dynamic structural model; ordinal generalized linear model estimation (search for similar items in EconPapers)
JEL-codes: I10 I12 I14 J16 (search for similar items in EconPapers)
Date: 2018
New Economics Papers: this item is included in nep-hea
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http://www.economics-ejournal.org/economics/discussionpapers/2018-25
https://www.econstor.eu/bitstream/10419/176567/1/101650862X.pdf (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:ifwedp:201825

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