This paper considers the statistical analysis of large panel data sets where even after conditioning on common observed … dependence. It is then established that the Common Correlated Effects (CCE) estimator of panel data model with a multifactor …

coefficients in the case of panel data models when the time dimension (T) is fixed while the cross section dimension (N) is allowed … effects in the panel. It is shown that the pooled estimator remains consistent so long as delta < 1, and is asymptotically …

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial … section dimensions of the panel are large. It derives the asymptotic covariance matrix of the QML estimators allowing for the … sample properties for panels with moderate time dimensions and irrespective of the number of cross section units in the panel …

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

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

This paper considers estimation and inference in panel vector autoregressions (PVARs) with fixed effects when the time … dimension of the panel is finite, and the cross-sectional dimension is large. A Maximum Likelihood (ML) estimator based on a …