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Understanding U.S. Workers Exposure to Trade by Gender, Education, and Occupation

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  • Schreiber, Samantha
  • Tsigas, Marinos

Abstract

This paper disaggregates the GTAP U.S. labor data into 20 worker types, by gender, education, and broad occupation category, to understand how different workers in the U.S. are exposed to hypothetical changes in tariff rates. First, a methodology is provided to disaggregate the U.S. labor input in GTAP into twenty types. A database of wage bill shares and mean wages by GTAP sector are calculated using 2017 data from the Current Population Survey (CPS) Annual Social and Economic Supplements (ASEC). The wage bill share matrix can be used as a tool to split wage payments in GTAP to each labor type. Second, the paper provides illustrative simulations with both manufacturing and services trade, demonstrating differential impacts on worker types for each of the scenarios considered.

Suggested Citation

  • Schreiber, Samantha & Tsigas, Marinos, 2021. "Understanding U.S. Workers Exposure to Trade by Gender, Education, and Occupation," Conference papers 333253, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:333253
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    References listed on IDEAS

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    1. Brussevich, Masha, 2018. "Does trade liberalization narrow the gender wage gap? The role of sectoral mobility," European Economic Review, Elsevier, vol. 109(C), pages 305-333.
    2. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
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