Common Correlated Effects Estimation of Unbalanced Panel Data Models with Cross-Sectional Dependence
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초록
We consider the estimation and inference of unbalanced panel data models with cross-sectional dependence with a large number of individual units in a relatively short time period. By following the common correlated effects (CCE) approach of Pesaran (2006), we propose a CCE estimator for unbalanced panels (CCE-UB). The asymptotics of the CCE-UB estimator is developed in the paper. Small scale Monte Carlo simulation is conducted to examine the finite sample properties of the proposed estimator.
Abstract
We consider the estimation and inference of unbalanced panel data models with cross-sectional dependence with a large number of individual units in a relatively short time period. By following the common correlated effects (CCE) approach of Pesaran (2006), we propose a CCE estimator for unbalanced panels (CCE-UB). The asymptotics of the CCE-UB estimator is developed in the paper. Small scale Monte Carlo simulation is conducted to examine the finite sample properties of the proposed estimator.
참고문헌 (18)
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