文章基本信息

标题：Conditional GMM estimation for gravity models
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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：1106-1112
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.