Gender Reveals in the Labor Market: Evidence on Gender Signaling and Statistical Discrimination in an Online Health Care Market

Haoran He, David Neumark and Qian Weng

No 32929, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We study gender discrimination in an online health care market. Statistical discrimination implies that the impact of gender on prices should decline, and the impact of reviews increase, as reviews accumulate. However, in our context this implication does not hold, because doctors choose how strongly to signal gender. We develop a new test for the implications of statistical discrimination based on this choice. We find evidence consistent with statistical discrimination against female doctors in male-dominated fields, and vice versa. For example, female doctors mask gender more strongly initially in male-dominated fields, and the gender gap in signaling declines as reviews accumulate.

JEL-codes: I11 J16 J40 J70 (search for similar items in EconPapers)
Date: 2024-09
New Economics Papers: this item is included in nep-gen, nep-hea and nep-lab
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