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SSRN Electronic Journal
Article . 2013 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2013
Data sources: EconStor
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Estimating the Elasticity of Trade: The Trade Share Approach

Authors: Mauro Lanati;

Estimating the Elasticity of Trade: The Trade Share Approach

Abstract

Recent theoretical work on international trade emphasizes the importance of trade elasticity as the fundamental statistic needed to conduct welfare analysis. Eaton and Kortum (2002) proposed a two-step method to estimate this parameter, where exporter fixed effects are regressed on proxies for technology and wages. Within the same Ricardian model of trade, the trade share provides an alternative source of identification for the elasticity of trade. Following Santos Silva and Tenreyro (2006) both trade share and EK models are estimated using OLS and Poisson PML to test for the presence of heteroskedasticity-type-of-bias. The evidence from both specifications suggests that the bias in the OLS estimates significantly impacts the magnitude of trade cost elasticity. The welfare analysis reveals that the resulting extreme variability of the trade cost elasticity and the imposition of a common manufacturing share parameter for all countries generate substantial distortions in the calculation of benefits from trade.

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Keywords

trade cost elasticity, gravity model, ddc:330, F14, gains from international trade, competitiveness equation, trade cost elasticity, gravity model, competitiveness equation, trade share,gains from international trade., trade cost elasticity; gravity model; competitiveness equation; trade share; gains from international trade, F10, F11, trade share, jel: jel:F10, jel: jel:F14, jel: jel:F11

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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!
1
Average
Average
Average
bronze