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American Economic Review Vol. 113 No. 2 2023

Trade with Correlation

Nelson Lind1; Natalia Ramondo2

1 Department of Economics, Emory University (email: ) · 2 Department of Economics, Boston University and NBER (email: )

Abstract

We develop a trade model with correlation in productivity across countries. The model spans the full class of generalized extreme value import demand systems and implies that countries with relatively dissimilar technology gain more from trade. In the context of a multisector trade model, we provide a tractable and flexible estimation procedure for correlation based on compressing highly disaggregate sectoral data into a few latent factors related to technology classes. We estimate significant heterogeneity in correlation across sectors and countries, which leads to quantitative predictions that are significantly different from estimates of models assuming independent productivity across sectors or countries.

DOI
10.1257/aer.20190781
Volume
113
Issue
2
Pages
317-353
Language
en
Sources
openalex bibtex:phds-export.bib crossref

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