Abstract:
This paper develops new estimation and inference procedures for dynamic panel data models with fixed effects and incidental trends. A simple consistent GMM estimation method is proposed that avoids the weak moment condition problem that is known to affect conventional GMM estimation when the autoregressive coefficient (rho) is near unity. In both panel and time series cases, the estimator has standard Gaussian asymptotics for all values of rho in (-1, 1] irrespective of how the composite cross section and time series sample sizes pass to infinity. Simulations reveal that the estimator has little bias even in very small samples. The approach is applied to panel unit root testing.
Ordering information: This working paper can be ordered from Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA The price is None.
More papers in Cowles Foundation Discussion Papers from Cowles Foundation, Yale University Address: Yale University, Box 208281, New Haven, CT 06520-8281 USA Contact information at EDIRC. Series data maintained by Glena Ames ().
This site is part of RePEc
and all the data displayed here is part of the RePEc data set.
Is your work missing from RePEc? Here is how to
contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .