Abstract
This article uses individual‐level data from the U.S. Census, Public Use Microdata Sample (PUMS), to examine wages and employment in the U.S. apparel industry. Total employment in this sector has been falling since 1970, and its overall average wage is the lowest of 25 industry aggregates. But disaggregation by gender, education, and nativity reveals that groups of highly educated male native workers earn higher average wages in apparel than in other industries. Moreover, after adjusting for observed individual differences in human capital (in addition to the three characteristics used to form worker subsets), highly educated male natives earn positive wage premiums in this sector. In contrast, most categories of immigrants and female natives earn relatively low average wages and experience negative wage premiums in apparel. This variation in the adjusted industry wage premiums across worker groups may be related to apparel's relative exposure to imports and immigrant workers.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.