Arbeitspapier

Smile or die: Can subjective well-being increase survival in the face of substantive health impairments?

A robust relationship between subjective well-being and mortality has been established in the literature. While this relationship has been confirmed for many measures and data sets, few studies address how it is affected by concrete diseases. In this paper we assess for the British Household Panel Survey (BHPS) data set from 1991-2008 how life satisfaction interacts with twelve concrete health impairments. Specifically, we analyze whether subjective well-being predicts longer survival in the panel for individuals having the respective impairments. We find that cancer, chest pains and diabetes consistently decrease survival in our sample, even controlling for the severity of health problems. But our results cast doubt on strong claims for the benefits of well-being on mortality: while life satisfaction generally predicts longer survival in the data set, this finding is not robust to controlling for the endogeneity of subjective well-being, and we do not find significant interactions between substantive health impairments and life satisfaction. Higher subjective well-being may keep you healthy, but once you have gotten sick, it does not predict your survival.

Sprache
Englisch

Erschienen in
Series: MAGKS Joint Discussion Paper Series in Economics ; No. 33-2016

Klassifikation
Wirtschaft
General Welfare; Well-Being
Health Behavior
Duration Analysis; Optimal Timing Strategies
Thema
subjective well-being
health
survival analysis
longevity
BHPS
life satisfaction

Ereignis
Geistige Schöpfung
(wer)
Binder, Martin
Bünstorf, Guido
Ereignis
Veröffentlichung
(wer)
Philipps-University Marburg, School of Business and Economics
(wo)
Marburg
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Binder, Martin
  • Bünstorf, Guido
  • Philipps-University Marburg, School of Business and Economics

Entstanden

  • 2016

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