This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional …

This paper provides an overview of the recent literature on estimation and inference in large panel data models with … cross-sectional dependence. It reviews panel data models with strictly exogenous regressors as well as dynamic models with …-sectional dependence. It considers a number of alternative estimators for static and dynamic panel data models, distinguishing between …

an application to the estimation of panel data models with an infinite number of weak factors and a finite number of …

This paper extends the Common Correlated Effects (CCE) approach developed by Pesaran (2006) to heterogeneous panel data … of cross section averages must be included in individual equations of the panel, and the number of cross section averages … dimension of the panel is sufficiently large …

This paper considers testing the hypothesis that errors in a panel data model are weakly Cross-sectionally dependent … panel contains lagged values of the dependent variables, so long as there are no major asymmetries in the error distribution …

This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao …

This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive …

This paper provides an overview of the recent literature on estimation and inference in large panel data models with … cross-sectional dependence. It reviews panel data models with strictly exogenous regressors as well as dynamic models with …-sectional dependence. It considers a number of alternative estimators for static and dynamic panel data models, distinguishing between …

This paper extends the Common Correlated Effects (CCE) approach developed by Pesaran (2006) to heterogeneous panel data … of cross section averages must be included in individual equations of the panel, and the number of cross section averages … dimension of the panel is sufficiently large. …

an application to the estimation of panel data models with an infinite number of weak factors and a finite number of …