Frequent winners explain apparent skewness preferences in experience-based decisions

Author:

Olschewski Sebastian12ORCID,Spektor Mikhail S.34ORCID,Le Mens Gaël456ORCID

Affiliation:

1. Department of Psychology, University of Basel, 4055 Basel, Switzerland

2. Warwick Business School, University of Warwick, CV4 7EQ Coventry, United Kingdom

3. Department of Psychology, University of Warwick, CV4 7EQ Coventry, United Kingdom

4. Department of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain

5. Barcelona School of Economics (BSE), Barcelona 08005, Spain

6. Universitat Pompeu Fabra–Barcelona School of Management, 08008 Barcelona, Spain

Abstract

Do people’s attitudes toward the (a)symmetry of an outcome distribution affect their choices? Financial investors seek return distributions with frequent small returns but few large ones, consistent with leading models of choice in economics and finance that assume right-skewed preferences. In contrast, many experiments in which decision-makers learn about choice options through experience find the opposite choice tendency, in favor of left-skewed options. To reconcile these seemingly contradicting findings, the present work investigates the effect of skewness on choices in experience-based decisions. Across seven studies, we show that apparent preferences for left-skewed outcome distributions are a consequence of those distributions having a higher value in most direct outcome comparisons, a “frequent-winner effect.” By manipulating which option is the frequent winner, we show that choice tendencies for frequent winners can be obtained even with identical outcome distributions. Moreover, systematic choice tendencies in favor of right- or left-skewed options can be obtained by manipulating which option is experienced as the frequent winner. We also find evidence for an intrinsic preference for right-skewed outcome distributions. The frequent-winner phenomenon is robust to variations in outcome distributions and experimental paradigms. These findings are confirmed by computational analyses in which a reinforcement-learning model capturing frequent winning and intrinsic skewness preferences provides the best account of the data. Our work reconciles conflicting findings of aggregated behavior in financial markets and experiments and highlights the need for theories of decision-making sensitive to joint outcome distributions of the available options.

Funder

BBVA Foundation

Spanish State Research Agency

Spanish Ministry of Science and Innovation

Spanish Ministry of Economic Affairs and Digital Transformation

ICREA Academia fellowship

ERC Consolidator Grant

Publisher

Proceedings of the National Academy of Sciences

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1. Frequent winners explain apparent skewness preferences in experience-based decisions;Proceedings of the National Academy of Sciences;2024-03-15

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