the estimation of long-run effects in dynamic heterogeneous panel data models with cross-sectionally dependent errors. The …

approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In this paper we … focus on the latter and consider both univariate and multivariate panel data models with short time dimension. Simple Bias …

This paper provides a new methodology for the analysis of multiple long run relations in panel data models where the … cross section dimension, n, is large relative to the time series dimension, T. For panel data models with large n … approach is illustrated with an application to key financial variables using an unbalanced panel of US firms from merged CRSP …

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. …