Econ Papers Daily / 期刊论文
劳动力市场中的性别揭示
Gender Reveals in the Labor Market
摘要
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 these implications do 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.
中文摘要
我们研究在线医疗市场中的性别歧视。统计歧视理论表明，随着评论的积累，性别对价格的影响应减弱，而评论的影响应增强。然而，在我们的情境中，这些推论并不成立，因为医生会选择如何强烈地传达性别信号。我们基于这一选择开发了一种新的检验统计歧视推论的方法。我们发现证据与统计歧视一致，即在男性主导领域中针对女性医生存在歧视，反之亦然。例如，在男性主导领域中，女性医生最初更强烈地隐藏性别，而随着评论的积累，性别信号差距逐渐缩小。