Converging evidence for greater male variability in time, risk, and social preferences
Edited by Elke U. Weber, Princeton University, Princeton, NJ, and approved April 22, 2021 (received for review December 27, 2020)
Significance
There is continuing interest in the study of gender differences in economic and social outcomes. An important factor underlying gender differences in outcomes are gender differences in fundamental economic preferences, which are at the core of many differential choices of women and men. We provide strong evidence for greater male variability in preferences. We find that men are more likely to have extreme time, risk, and social preferences, while women are more likely to have moderate preferences. With the focus on mean differences, the current literature underestimates the importance of gender differences and their effects on differential choices and outcomes between women and men.
Abstract
Gender differences in time, risk, and social preferences are important determinants of differential choices of men and women, with broad implications for gender-specific social and economic outcomes. To better understand the shape and form of gender differences in preferences, researchers have traditionally examined the mean differences between the two genders. We present an alternative perspective of greater male variability in preferences. In a meta-analysis of experimental economics studies with more than 50,000 individuals in 97 samples, we find converging evidence for greater male variability in time, risk, and social preferences. In some cases, we find greater male variability in addition to mean differences; in some cases, we only find greater male variability. Our findings suggest that theories of gender differences are incomplete if they fail to consider how the complex interaction of between-gender differences and within-gender variability determines differential choices and outcomes between women and men.
Data Availability
Data cannot be shared. (Our study is a meta-analysis combining the data of more than 90 academic articles. The majority of the data sets are available online from the journal websites. Part of the data was acquired by contacting the authors. We do not have the right to disseminate the data, but researchers who want to reproduce our work should be able to get the data from the same sources as we did.)
Acknowledgments
We thank all authors of the studies included in this meta-analysis for generously sharing their data with us. For very helpful comments and suggestions, we thank the editor, two anonymous referees, Larry Cahill, Jose M. Cortina, Matthew O. Jackson, Steven Pinker, Jonathan Schulz, and the participants of the French Experimental Talks seminar.
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© 2021. Published under the PNAS license.
Data Availability
Data cannot be shared. (Our study is a meta-analysis combining the data of more than 90 academic articles. The majority of the data sets are available online from the journal websites. Part of the data was acquired by contacting the authors. We do not have the right to disseminate the data, but researchers who want to reproduce our work should be able to get the data from the same sources as we did.)
Submission history
Published online: June 4, 2021
Published in issue: June 8, 2021
Keywords
Acknowledgments
We thank all authors of the studies included in this meta-analysis for generously sharing their data with us. For very helpful comments and suggestions, we thank the editor, two anonymous referees, Larry Cahill, Jose M. Cortina, Matthew O. Jackson, Steven Pinker, Jonathan Schulz, and the participants of the French Experimental Talks seminar.
Notes
This article is a PNAS Direct Submission.
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Competing Interests
The authors declare no competing interest.
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