Estimation and identification of change points in panel models with nonstationary or stationary regressors and error term |
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| Authors: | Badi H. Baltagi Chihwa Kao Long Liu |
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| Affiliation: | 1. Department of Economics, Center for Policy Research, Syracuse University, Syracuse, NY, USA;2. Department of Economics, College of Business, University of Texas at San Antonio, One UTSA Circle, TX, USA |
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| Abstract: | This article studies the estimation of change point in panel models. We extend Bai (2010 Bai, J. (2010). Common breaks in means and variances for panel data. Journal of Econometrics 157:78–92.[Crossref], [Web of Science ®] , [Google Scholar]) and Feng et al. (2009 Feng, Q., Kao, C., Lazarová, S. (2009). Estimation and Identification of Change Points in Panel Models, Working paper, Syracuse University. [Google Scholar]) to the case of stationary or nonstationary regressors and error term, and whether the change point is present or not. We prove consistency and derive the asymptotic distributions of the Ordinary Least Squares (OLS) and First Difference (FD) estimators. We find that the FD estimator is robust for all cases considered. |
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| Keywords: | Change point consistency nonstationarity panel data |
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