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  • 标题:Conditional GMM estimation for gravity models
  • 本地全文:下载
  • 作者:Masaya Nishihata ; Taisuke Otsu
  • 期刊名称:Economics Bulletin
  • 电子版ISSN:1545-2921
  • 出版年度:2020
  • 卷号:40
  • 期号:2
  • 页码:1-7
  • 出版社:Economics Bulletin
  • 摘要:This paper studies finite sample performances of the conditional GMM estimators for a particular conditional momentrestriction model, which is commonly applied in economic analysis using gravity models of international trade. Weconsider the GMM estimator with growing moments and Dominguez and Lobato's (2004) process-based GMMestimator. Under the simulation designs by Santos Silva and Tenreyro (2006, 2011), we find that Dominguez andLobato's (2004) estimator is favorably comparable with the Poisson pseudo maximum likelihood estimator, andoutperforms other estimators.
  • 关键词:GMM; Gravity model; Conditional moment restriction
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