Arbeitspapier
Hyperbolic discounting can be good for your health
It has been argued that hyperbolic discounting of future gains and losses leads to time-inconsistent behavior and thereby, in the context of health economics, not enough investment in health and too much indulgence of unhealthy consumption. Here, we challenge this view. We set up a life-cycle model of human aging and longevity in which individuals discount the future hyperbolically and make time-consistent decisions. This allows us to disentangle the role of discounting from the time consistency issue. We show that hyperbolically discounting individuals, under a reasonable normalization, invest more in their health than they would if they had a constant rate of time preference. Using a calibrated life-cycle model of human aging, we predict that the average U.S. American lives about 4 years longer with hyperbolic discounting than he would if he had applied a constant discount rate. The reason is that, under hyperbolic discounting, experiences in old age receive a relatively high weight in life time utility. In an extension we show that the introduction of health-dependent survival probability motivates an increasing discount rate for the elderly and, in the aggregate, a u-shaped pattern of the discount rate with respect to age.
- Sprache
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Englisch
- Erschienen in
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Series: ECON WPS ; No. 11/2016
- Klassifikation
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Wirtschaft
Consumer Economics: Theory
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Health: General
Health Behavior
- Thema
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discount rates
present bias
health behavior
aging
longevity
- Ereignis
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Geistige Schöpfung
- (wer)
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Strulik, Holger
Trimborn, Timo
- Ereignis
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Veröffentlichung
- (wer)
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Vienna University of Technology, Institute of Statistics and Mathematical Methods in Economics, Research Group Economics
- (wo)
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Vienna
- (wann)
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2016
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Strulik, Holger
- Trimborn, Timo
- Vienna University of Technology, Institute of Statistics and Mathematical Methods in Economics, Research Group Economics
Entstanden
- 2016