期刊
ECONOMICS LETTERS
卷 139, 期 -, 页码 22-26出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.econlet.2015.12.012
关键词
Panel data; Identification; GMM; Interactive fixed effects
类别
资金
- [KAKENHI 25780153]
- [25285067]
- Grants-in-Aid for Scientific Research [15H01943, 25780153, 25285067] Funding Source: KAKEN
This paper studies the GMM estimation of short panel data models with interactive fixed effects. We demonstrate that the nonlinear moment conditions proposed by Ahn et al. (2001, 2013) do not always satisfy the global identification assumption, which is necessary for consistency of the GMM estimation. Some numerical examples are provided to confirm this claim. We also demonstrate that the same problem occurs for moment conditions proposed by Hayakawa (2012) and Robertson and Sarafidis (2015), since their moment conditions become identical to those of Ahn et al. (2001, 2013) in some cases. Finally, we conduct Monte Carlo simulations and show that the starting value used in the computation of non-linear GMM estimators has a significant effect on performance. (C) 2015 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据