Gains from trade: Does sectoral heterogeneity matter?*
成果类型:
Article
署名作者:
Giri, Rahul; Yi, Kei-Mu; Yilmazkuday, Hakan
署名单位:
International Monetary Fund; University of Houston System; University of Houston; Federal Reserve System - USA; Federal Reserve Bank - Dallas; National Bureau of Economic Research; State University System of Florida; Florida International University
刊物名称:
JOURNAL OF INTERNATIONAL ECONOMICS
ISSN/ISSBN:
0022-1996
DOI:
10.1016/j.jinteco.2021.103429
发表日期:
2021
关键词:
Gains from trade
Estimated trade elasticities
simulated method of moments
Sectoral heterogeneity
International price dispersion
Multi-sector trade
摘要:
This paper assesses the quantitative importance of including sectoral heterogeneity in computing the gains from trade. Our framework draws from Caliendo and Parro (2015) and has sectoral heterogeneity along five dimensions, including the elasticity of trade to trade costs. We estimate the sectoral trade elasticity with the Simonovska and Waugh (2014) simulated method of moments estimator and micro price data. Our estimates range from 2.97 to 8.94 across sectors. Our benchmark model is calibrated to 21 OECD countries and 20 sectors. We remove one or two sources of sectoral heterogeneity at a time, and compare the gains from trade to the benchmark model. We also compare an aggregate model with a single elasticity to the benchmark model. Our main result from these counterfactual exercises is that sectoral heterogeneity does not always lead to an increase in the gains from trade, which is consistent with the theory. ? 2021 Elsevier B.V. All rights reserved.
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