Arbeitspapier

Stochastic choice and preference reversals

Preferences over risky alternatives can be elicited by different methods, including direct pairwise choices and willingness-to-accept valuations. The results are frequently at odds, casting doubts on the foundations of economics. We develop a stochastic choice model predicting when inconsistencies across elicitation methods should occur, the type of anomalies to be expected, what determines their magnitude, and whether they uncover a bias or not. While some anomalies can be traced back to individual biases, other apparent anomalies can occur in the absence of any actual behavioral bias, as a consequence of regularities in stochastic choice, risk attitudes, and experimental design. The model delivers new predictions that are confirmed in five experiments on the classical preference reversal phenomenon. Our novel empirical approach relies on utilities estimated out of sample, which allow us to test the model and also show that the bias in willingness-to-accept valuations is limited to long shots.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 370

Klassifikation
Wirtschaft
Microeconomic Behavior: Underlying Principles
Criteria for Decision-Making under Risk and Uncertainty
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Thema
Stochastic choice
preference elicitation
preference reversals
behavioral biases
lottery choice

Ereignis
Geistige Schöpfung
(wer)
Alós-Ferrer, Carlos
Buckenmaier, Johannes
Garagnani, Michele
Ereignis
Veröffentlichung
(wer)
University of Zurich, Department of Economics
(wo)
Zurich
(wann)
2021

DOI
doi:10.5167/uzh-193661
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

  • Alós-Ferrer, Carlos
  • Buckenmaier, Johannes
  • Garagnani, Michele
  • University of Zurich, Department of Economics

Entstanden

  • 2021

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