This paper considers the problem of identification, estimation and inference in the case of spatial panel data models … errors. A quasi maximum likelihood (QML) estimation procedure is developed and the conditions for identification of spatial …

result is shown to hold for pure latent factor models as well as for panel regressions with latent factors. Small sample …

This paper extends the cross sectionally augmented panel unit root test proposed by Pesaran (2007) to the case of a … the maximum number of factors, in contrast to other panel unit root tests based on principal components that require in … addition the estimation of the number of factors as well as the factors themselves. Small sample properties of the proposed …

A number of panel unit root tests that allow for cross section dependence have been proposed in the literature, notably … asymptotically eliminate the cross dependence of the series before standard panel unit root tests are applied to the transformed … variety of models. It is shown that the cross sectionally augmented panel unit root tests have satisfactory size and power …

This paper extends the cross sectionally augmented panel unit root test proposed by Pesaran (2007) to the case of a … the maximum number of factors, in contrast to other panel unit root tests based on principal components that require in … addition the estimation of the number of factors as well as the factors themselves. Small sample properties of the proposed …

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial … develops a quasi maximum likelihood (QML) estimation procedure. Under certain regularity conditions, it is shown that the QML … section dimensions of the panel are large. It derives the asymptotic covariance matrix of the QML estimators allowing for the …

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial … develops a quasi maximum likelihood (QML) estimation procedure. Under certain regularity conditions, it is shown that the QML … section dimensions of the panel are large. It derives the asymptotic covariance matrix of the QML estimators allowing for 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 …

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 …

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 …