Sexism, Social Outcomes, and the Gender Wage Gap

Ann L. Owen, Andrew Wei
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Abstract

Using Google Trends data to identify hostile sexism, we find that sexism explains about 8 cents (or 41 percent) of the residual gender wage gap, the wage gap after controlling for education, occupation, industry, and age. We find evidence for a direct effect of sexism consistent with labor market discrimination and an indirect effect that works through social outcomes that reduce hours worked which itself directly affects wages. Consistent with theories of discrimination, the direct impact of sexism is greater for women who are less educated, work in less competitive industries, and work in industries with fewer female workers.
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性别歧视、社会结果和性别工资差距
利用谷歌Trends的数据来识别敌意性别歧视,我们发现性别歧视解释了大约8美分(或41%)的剩余性别工资差距,这是在控制了教育、职业、行业和年龄之后的工资差距。我们发现了与劳动力市场歧视一致的性别歧视直接影响的证据,以及通过减少工作时间直接影响工资的社会结果产生的间接影响的证据。与歧视理论一致的是,性别歧视对受教育程度较低、在竞争力较弱的行业工作、以及在女性工人较少的行业工作的女性的直接影响更大。
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