An Evolutionary Justification for Overconfidence

Economics Bulletin, Volume 40, Issue 3, pages 2494-2504, September 2020

17 Pages Posted: 28 Aug 2017 Last revised: 26 Apr 2021

See all articles by Kim Gannon

Kim Gannon

Massachusetts Institute of Technology (MIT) - Department of Economics

Hanzhe Zhang

Department of Economics, Michigan State University

Date Written: September 11, 2020

Abstract

This paper provides an evolutionary justification for overconfidence. Players are pairwise matched to compete for a resource, and there is uncertainty about who will win the resource if they choose to compete. Players have different confidence levels about their chance of winning, although in reality they have the same chance of winning. Each player may or may not know her opponent’s confidence level. We characterize the evolutionarily stable equilibrium, represented by players’ strategies and distribution of confidence levels. Under different informational environments, a majority of players are overconfident—i.e., they overestimate their chance of winning. We also characterize the evolutionary dynamics and the rate of convergence to the equilibrium.

Keywords: overconfidence, evolutionary game

JEL Classification: C73, D83

Suggested Citation

Gannon, Kim and Zhang, Hanzhe, An Evolutionary Justification for Overconfidence (September 11, 2020). Economics Bulletin, Volume 40, Issue 3, pages 2494-2504, September 2020, Available at SSRN: https://ssrn.com/abstract=3026885 or http://dx.doi.org/10.2139/ssrn.3026885

Kim Gannon

Massachusetts Institute of Technology (MIT) - Department of Economics ( email )

50 Memorial Drive
E52-391
Cambridge, MA 02142
United States

Hanzhe Zhang (Contact Author)

Department of Economics, Michigan State University ( email )

486 West Circle Drive
East Lansing, MI 48824
United States

HOME PAGE: http://hanzhezhang.github.io/

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
132
Abstract Views
897
Rank
393,588
PlumX Metrics