This paper proposes a new panel model of cross-sectional dependence. The model has a number of potential structural … approach to the modelling of interactions across panel units and can generate endogenous cross-sectional dependence that can … study and two empirical illustrations. -- Cross-sectional dependence ; Nonlinearity ; Factor models ; Panel models ; Fixed …

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 a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and … the time series dimension of the panel is large. We present an application to the evaluation of Time-of-Use pricing using …

This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and … the time series dimension of the panel is large. We present an application to the evaluation of Time-of-Use pricing using …

This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence …

This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and … the time series dimension of the panel is large. We present an application to the evaluation of Time-of-Use pricing using …

panel data methods that allow one to account for unobserved heterogeneity, temporal persistence, and crosssection dependence …

State level. Using a panel of 49 US States followed over the period 1980-2004, we study the non-stationarity and …

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