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Evolutionary Efficiency and Happiness

Bibliographic Data

ID10172048
AuthorsLuis Rayo (0000-0003-4429-7398, University of Chicago), Gary S Becker (Hoover Institution)
Year2007
Volume115
Issue2
Pages302-337
Publication date2007-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Political Economy (JOURNAL)
Journal identifiersISSN: 0022-3808 • E-ISSN: 1537-534X
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/516737
OpenAlexW2102112353
LanguageEN
Citations received63
References cited19

We model happiness as a measurement tool used to rank alternative actions. Evolution favors a happiness function that measures the individualâ€TMs success in relative terms. The optimal function is based on a time-varying reference point—or performance benchmark—that is updated over time in a statistically optimal way in order to match the individualâ€TMs potential. Habits and peer comparisons arise as special cases of such an updating process. This updating also results in a volatile level of happiness that continuously reverts to its long-term mean. Throughout, we draw a parallel with a problem of optimal incentives, which allows us to apply statistical insights from agency theory to the study of happiness

Agency (philosophy · Benchmark (surveying · Econometrics · Economics · Function (biology · Geography · Happiness · Incentive · Microeconomics · Point (geometry · Rank (graph theory · Sociology · Term (time · Computer Science · Decision-Making and Behavioral Economics · Economic theories and models · Experimental Behavioral Economics Studies · Mathematics · Psychology · Social Psychology

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Unique citing works63
Citations per year3
Citation span2005 - 2026 (22)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 61

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