期刊
JOURNAL OF APPLIED ECONOMETRICS
卷 31, 期 1, 页码 133-162出版社
WILEY
DOI: 10.1002/jae.2450
关键词
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资金
- National Science Foundation of China [71322105]
- Center for Statistical Science of Peking University
This paper considers identification of spatial Durbin dynamic panel models under 2SLS and ML estimations. We show that the parameters are generally identified via 2SLS moment relations or expected log-likelihood or quasi-likelihood functions. Monte Carlo experiments suggest that omitting relevant Durbin terms can result in significant biases in regression estimates, while including an irrelevant Durbin term causes no obvious loss of efficiency. Empirical illustration of the international spillover of economic growth through bilateral trade shows that inclusion of Durbin terms can be important. Copyright (c) 2015John Wiley & Sons, Ltd.
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