Estimating Wage Discrimination and Examining Variation Across Worker Groups

Roger White

Chapter Chapter 4 in Intersectionality and Discrimination, 2023, pp 73-108 from Springer

Abstract: Abstract We use the Blinder-Oaxaca decomposition technique and a Heckman sample selection correction model to estimate variants of the Mincer earnings function. This results in estimated wage discrimination rates for each worker group. The groups are defined based on unique combinations of workers’ personal characteristics (i.e., Hispanic ethnicity, nativity, race, and sex). Generating estimated discrimination rates is an essential step toward determining whether wage discrimination in the US labor market is intersectional. To estimate wage discrimination, we compare 43 worker groups, in turn, to our null worker cohort which is comprised of native-born, non-Hispanic, white, male workers. In the typical year during our 2008–2020 reference period, we examine data for 882,342 workers, and over our entire reference period, we examine data for 11,470,451 workers. Given that we estimate four regression models for each of our 43 worker groups for each of the 13 years in our reference period, in total, we produce more than 2,200 wage discrimination estimates.

Keywords: Estimated wage discrimination; Hispanic ethnicity; Nativity; Race; Sex; Worker groups (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-26125-1_4

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DOI: 10.1007/978-3-031-26125-1_4

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