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 …

This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and … spatial lag dependent variable and where the heterogeneity in the panel is incorporated via an error component specification … spatial autocorrelation and random effects for this spatial SUR panel model. The small sample performance of the proposed …

This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and … spatial lag dependent variable and where the heterogeneity in the panel is incorporated via an error component specification … spatial autocorrelation and random effects for this spatial SUR panel model. The small sample performance of the proposed …

or even when treatment is randomly assigned. I show that panel data and an additional assumption on the dependence …

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

contributions in the context of static panel data models. The first is to show under what conditions the aggregation of foreign …

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 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 proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and … spatial lag dependent variable and where the heterogeneity in the panel is incorporated via an error component specification … spatial autocorrelation and random effects for this spatial SUR panel model. The small sample performance of the proposed …

stationarity assumptions. Ishihara (2020) explores identification of the nonseparable panel data model under these assumptions and …