{"title":"性别差距:观察整个分布","authors":"Yanay Farja, Avi Tillman, Ori Zax","doi":"10.1177/0260107920938544","DOIUrl":null,"url":null,"abstract":"We propose a new method of estimating wage differences among individuals from different populations, which is based on looking at the distribution of fixed effects from a wage regression. We use this method to compare males’ and females’ wage distribution at different levels of education and at different ages. In most cases, unobserved, time-constant factors increase the wage of males, compared to that of females, by a constant share. But this is not true when looking at the tails of the distribution. We also discuss the advantages of our method. JEL: J71, J31","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0260107920938544","citationCount":"0","resultStr":"{\"title\":\"The Gender Gap: Looking at the Entire Distribution\",\"authors\":\"Yanay Farja, Avi Tillman, Ori Zax\",\"doi\":\"10.1177/0260107920938544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new method of estimating wage differences among individuals from different populations, which is based on looking at the distribution of fixed effects from a wage regression. We use this method to compare males’ and females’ wage distribution at different levels of education and at different ages. In most cases, unobserved, time-constant factors increase the wage of males, compared to that of females, by a constant share. But this is not true when looking at the tails of the distribution. We also discuss the advantages of our method. JEL: J71, J31\",\"PeriodicalId\":42664,\"journal\":{\"name\":\"Journal of Interdisciplinary Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/0260107920938544\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Interdisciplinary Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/0260107920938544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Interdisciplinary Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0260107920938544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
The Gender Gap: Looking at the Entire Distribution
We propose a new method of estimating wage differences among individuals from different populations, which is based on looking at the distribution of fixed effects from a wage regression. We use this method to compare males’ and females’ wage distribution at different levels of education and at different ages. In most cases, unobserved, time-constant factors increase the wage of males, compared to that of females, by a constant share. But this is not true when looking at the tails of the distribution. We also discuss the advantages of our method. JEL: J71, J31
期刊介绍：
The explosion of information and research that has taken place in recent years has had a profound effect upon a variety of existing academic disciplines giving rise to the dissolution of barriers between some, mergers between others, and the creation of entirely new fields of enquiry.
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