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Conditional GMM estimation for gravity models

Author

Listed:
  • Masaya Nishihata

    (Mitsubishi UFJ Research and Consulting Co., Ltd.)

  • Taisuke Otsu

    (London School of Economics and Keio Economic Observatory)

Abstract

This paper studies finite sample performances of the conditional GMM estimators for a particular conditional moment restriction model, which is commonly applied in economic analysis using gravity models of international trade. We consider the GMM estimator with growing moments and Dominguez and Lobato's (2004) process-based GMM estimator. Under the simulation designs by Santos Silva and Tenreyro (2006, 2011), we find that Dominguez and Lobato's (2004) estimator is favorably comparable with the Poisson pseudo maximum likelihood estimator, and outperforms other estimators.

Suggested Citation

  • Masaya Nishihata & Taisuke Otsu, 2020. "Conditional GMM estimation for gravity models," Economics Bulletin, AccessEcon, vol. 40(2), pages 1106-1111.
    • Handle: RePEc:ebl:ecbull:eb-19-00975
    as

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    References listed on IDEAS

    as
    1. Manuel A. Domínguez & Ignacio N. Lobato, 2004. "Consistent Estimation of Models Defined by Conditional Moment Restrictions," Econometrica, Econometric Society, vol. 72(5), pages 1601-1615, September.
    2. James E. Anderson & Eric van Wincoop, 2003. "Gravity with Gravitas: A Solution to the Border Puzzle," American Economic Review, American Economic Association, vol. 93(1), pages 170-192, March.
    3. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    4. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2003. "Empirical likelihood estimation and consistent tests with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 117(1), pages 55-93, November.
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    More about this item

    Keywords

    GMM; Gravity model; Conditional moment restriction;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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