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Trade Policy and Gender: Examination of Gender and Sector-Specific Outcomes

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  • Gurevich, Tamara
  • Riker, David
  • Tsigas, Marinos

Abstract

This paper assesses the economic impact of U.S. trade agreements implemented from 1984 to 2013 on U.S. labor markets for male and female workers. The main challenge in retrospective analysis, such as that undertaken in this paper, is to disentangle the impact of the trade agreements from the many changes in economic conditions that coincided with the implementation of the agreements. This paper combines an econometric model of trade with the GTAP CGE simulation model to estimate the impact of the bilateral and regional agreements on sector-level bilateral trade in goods and services. This paper builds on earlier work by the U.S. International Trade Commission. In particular, the U.S. input-output statistics are expanded to identify employment by sector for female and male workers. These employment statistics are obtained from the Current Population Survey (CPS). The paper finds that the U.S. trade agreements have generally benefitted the American workers and that women benefitted more than men, both in terms of wages and employment. Keywords: trade, trade agreements, distributional effects, gender

Suggested Citation

  • Gurevich, Tamara & Riker, David & Tsigas, Marinos, 2020. "Trade Policy and Gender: Examination of Gender and Sector-Specific Outcomes," Conference papers 333137, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:333137
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    File URL: https://ageconsearch.umn.edu/record/333137/files/9773.pdf
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    References listed on IDEAS

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    1. Angel Aguiar & Badri Narayanan & Robert McDougall, 2016. "An Overview of the GTAP 9 Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 181-208, June.
    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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