Is Gender in the Pocket of Investors? Identifying Gender Bias Towards CEOs with a Lab Experiment

59 Pages Posted: 29 May 2019 Last revised: 23 Aug 2021

Date Written: August 23, 2021

Abstract

Do investors react negatively to the appointment of female CEOs because of their gender bias? To answer this question, we build a trading experiment to causally identify gender bias towards newly appointed CEOs. We distinguish among gender stereotypes, double standard and group biases (in-group favoritism and out-group discrimination) as theoretical sources of gender bias. When a female CEO is appointed, we find that female participants buy stocks while male participants sell stocks. The opposite holds when a male CEO is appointed. For male traders, our results are consistent with both stereotypes and group biases. For female traders, our results are consistent with both double standard and group biases. These sources of gender bias, combined with the lack of gender diversity in the stock market, can explain the negative stock market reaction to female CEO appointments documented in archival work, and contribute to the pervasive underrepresentation of female CEOs around the world.

Keywords: CEO, gender diversity, gender homophily, glass ceiling, stock market

JEL Classification: J16, M14

Suggested Citation

Longin, François and Santacreu-Vasut, Estefania, Is Gender in the Pocket of Investors? Identifying Gender Bias Towards CEOs with a Lab Experiment (August 23, 2021). Available at SSRN: https://ssrn.com/abstract=3370078 or http://dx.doi.org/10.2139/ssrn.3370078

François Longin (Contact Author)

ESSEC Business School ( email )

Avenue Bernard Hirsch
BP 105 Cergy Cedex, 95021
France

HOME PAGE: http://www.essec.edu/faculty/francois-longin

Estefania Santacreu-Vasut

ESSEC Business School ( email )

3 Avenue Bernard Hirsch
CS 50105 CERGY
CERGY, CERGY PONTOISE CEDEX 95021
France

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
365
Abstract Views
2,609
Rank
158,125
PlumX Metrics