Arbeitspapier

Stochastic expected utility and prospect theory in a horse race: A finite mixture approach

This study compares the performance of Prospect Theory versus Stochastic Expected Utility Theory at fitting data on decision making under risk. Both theories incorporate well-known deviations from Expected Utility Maximization such as the Allais paradox or the fourfold pattern of risk attitudes. Stochastic Expected Utility Theory parsimoniously extends the standard microeconomic model, whereas Prospect Theory, the benchmark for aggregate choice so far, is based on psychological findings. First, the two theories' fit to representative choice is assessed for two experimental data sets, one Swiss and one Chinese. In a second step, finite mixture regressions reveal a consistent mix of two different behavioral types suggesting that researchers may take individual heterogeneity into account in order to avoid aggregation bias.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 0803

Klassifikation
Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Econometric and Statistical Methods: Special Topics: Other
Thema
stochastic expected etility theory
prospect theory
finite mixture models
Pferdesport
Glücksspiel
Entscheidung bei Risiko
Erwartungsnutzen
Stochastischer Prozess
Vergleich
Prospect Theory
Statistische Verteilung
Schätztheorie

Ereignis
Geistige Schöpfung
(wer)
Bruhin, Adrian
Ereignis
Veröffentlichung
(wer)
University of Zurich, Socioeconomic Institute
(wo)
Zurich
(wann)
2008

Handle
Letzte Aktualisierung
10.03.2025, 11:41 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

  • Bruhin, Adrian
  • University of Zurich, Socioeconomic Institute

Entstanden

  • 2008

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