Quantitative Trade Models: Developments and Challenges

Author:

Kehoe Timothy J.123,Pujolàs Pau S.4,Rossbach Jack5

Affiliation:

1. Department of Economics, University of Minnesota, Minneapolis, Minnesota 55455

2. Research Division, Federal Reserve Bank of Minneapolis, Minneapolis, Minnesota 55401

3. National Bureau of Economic Research, Cambridge, Massachusetts 02138;

4. Department of Economics, McMaster University, Hamilton, Ontario L8S 4L8, Canada;

5. Department of Economics, Georgetown University Qatar, Doha, Qatar;

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.

Publisher

Annual Reviews

Subject

Economics and Econometrics

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