Quantitative Trade Models: Developments and Challenges

Posted: 14 Aug 2017

See all articles by Timothy J. Kehoe

Timothy J. Kehoe

University of Minnesota - Twin Cities - Department of Economics; National Bureau of Economic Research (NBER)

Pau Pujolas

McMaster University

Jack Rossbach

Georgetown University, School of Foreign Service in Qatar

Multiple version iconThere are 2 versions of this paper

Date Written: August 2017

Abstract

Applied general equilibrium (AGE) models, which feature multiple countries, multiple industries, and input–output linkages across industries, have been the dominant tool for evaluating the impact of trade reforms since the 1980s. We review how these models are used to perform policy analysis and document their shortcomings in predicting the industry-level effects of past trade reforms. We argue that, to improve their performance, AGE models need to incorporate product-level data on bilateral trade relations by industry and better model how trade reforms lower bilateral trade costs. We use the least-traded-products methodology of Kehoe et al. (2015) to provide guidance on how improvements can be made. We provide further suggestions on how AGE models can incorporate recent advances in quantitative trade theory to improve their predictive ability and better quantify the gains from trade liberalization.

Suggested Citation

Kehoe, Timothy J. and Pujolas, Pau and Rossbach, Jack, Quantitative Trade Models: Developments and Challenges (August 2017). Annual Review of Economics, Vol. 9, pp. 295-325, 2017, Available at SSRN: https://ssrn.com/abstract=3017742 or http://dx.doi.org/10.1146/annurev-economics-080614-115502

Timothy J. Kehoe (Contact Author)

University of Minnesota - Twin Cities - Department of Economics ( email )

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Pau Pujolas

McMaster University ( email )

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Jack Rossbach

Georgetown University, School of Foreign Service in Qatar ( email )

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