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The Gravity Model for International Trade: Specification and Estimation Issues

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  • Tamás Krisztin
  • Manfred M. Fischer

Abstract

The Poisson gravity model along with pseudo maximum likelihood (ML) methods has become a popular way to model international trade flows. This approach has several econometric advantages that we outline in the paper. We argue that estimating the parameters by ML would only be justified statistically if the trade flows were independent. Such an assumption, however, is generally not valid, and a failure to account for spatial dependence may lead to biased parameter estimates and misleading inferences. To overcome this estimation problem we suggest eigenvector spatial filtering variants of the Poisson gravity model (without and with zero-inflation) along with pseudo ML estimation.

Suggested Citation

  • Tamás Krisztin & Manfred M. Fischer, 2015. "The Gravity Model for International Trade: Specification and Estimation Issues," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(4), pages 451-470, December.
    • Handle: RePEc:taf:specan:v:10:y:2015:i:4:p:451-470
    DOI: 10.1080/17421772.2015.1076575
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    References listed on IDEAS

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    1. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    2. Martin, Will & Pham, Cong S., 2008. "Estimating the gravity model when zero trade flows are frequent," Working Papers eco_2008_03, Deakin University, Department of Economics.
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