{"title":"性别歧视、社会结果和性别工资差距","authors":"Ann L. Owen, Andrew Wei","doi":"10.2139/ssrn.3644365","DOIUrl":null,"url":null,"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.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sexism, Social Outcomes, and the Gender Wage Gap\",\"authors\":\"Ann L. Owen, Andrew Wei\",\"doi\":\"10.2139/ssrn.3644365\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":149805,\"journal\":{\"name\":\"Labor: Demographics & Economics of the Family eJournal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Labor: Demographics & Economics of the Family eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3644365\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Labor: Demographics & Economics of the Family eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3644365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.