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Journal of International Economics
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://doi.org/10.24149/gwp34...
Article . 2018 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2020 . Peer-reviewed
Data sources: Crossref
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Gains from Trade: Does Sectoral Heterogeneity Matter?

Authors: Rahul Giri; Kei-Mu Yi; Hakan Yilmazkuday;

Gains from Trade: Does Sectoral Heterogeneity Matter?

Abstract

Abstract 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.

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    popularity
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    influence
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
bronze