Gender and beauty in the financial analyst profession: evidence from the United States and China

Congcong Li (), An-Ping Lin (), Hai Lu () and Kevin Veenstra ()
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Congcong Li: Duquesne University
An-Ping Lin: Singapore Management University
Hai Lu: University of Toronto
Kevin Veenstra: McMaster University

Review of Accounting Studies, 2020, vol. 25, issue 4, No 2, 1230-1262

Abstract: Abstract We examine how gender and beauty affect the likelihood of being voted as an All-Star in the financial analyst profession in both the United States and China. We find that female analysts are more likely to be voted as All-Star analysts in the United States, but good-looking female U.S. analysts are less likely to be voted as All-Stars. The conclusion is the opposite for Chinese analysts. We find that female analysts in China are less likely to be voted as All-Stars, but the likelihood increases with their facial attractiveness. These findings implicate a beauty penalty for female analysts in the United States and gender discrimination against female analysts in China. This career path evidence from a competitive financial industry suggests that gender and beauty biases may be rooted deeply in culture and the legal environment and should not be treated homogenously.

Keywords: Analysts; Gender; Beauty; Labor market (search for similar items in EconPapers)
JEL-codes: D83 G11 G24 J24 J44 M41 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (18)

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DOI: 10.1007/s11142-020-09542-z

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