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Estimating gravity equations: to log or not to log?

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  • Boriss Siliverstovs
  • Dieter Schumacher

Abstract

This study compares two alternative approaches to estimate parameters in gravity equations. We compare the traditional OLS approach applied to the log-linear form of the gravity model with the Poisson Quasi Maximum Likelihood (PQML) estimation procedure applied to the non-linear multiplicative specification of the gravity model. We use the trade flows for all products, for all manufacturing products as well as for manufacturing products broken down by three-digit ISIC Rev.2 categories. We base our conclusions on the generalised gravity model of Bergstrand (1989) that allows us to investigate differences in factor-proportions and home-market effects at the industry level. In addition, we compare the effects of other explanatory variables such as exporter and importer total income, distance, preferential trade agreements, common border, historical ties, and common language on the volume of trade. Our study provides comprehensive evidence on likely qualitative and/or quantitative differences in the values of estimated coefficients as a result of application of an alternative estimation method. Our main conclusion is that both estimation results as well as results of the regression misspecification tests provide supporting evidence for the PQML estimation approach over the OLS estimation method.
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Suggested Citation

  • Boriss Siliverstovs & Dieter Schumacher, 2009. "Estimating gravity equations: to log or not to log?," Empirical Economics, Springer, vol. 36(3), pages 645-669, June.
  • Handle: RePEc:spr:empeco:v:36:y:2009:i:3:p:645-669
    DOI: 10.1007/s00181-008-0217-y
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    More about this item

    Keywords

    Gravity equation; Poisson regression; F12;
    All these keywords.

    JEL classification:

    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation

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