I consider a panel vector-autoregressive model with cross-sectional dependence of the disturbances characterized by a … transformed data and applies standard techniques for estimation of panel vector-autoregressive models. I compare the small …-sample performance of various estimation strategies in a Monte Carlo study. -- spatial PVAR ; multivariate dynamic panel data model …

This paper revisits the panel autoregressive model, with a primary emphasis on the unit-root case. We study a class of …

This paper investigates the finite sample properties of estimators for spatial dynamic panel models in the presence of … suggest that, in order to account for the endogeneity of several covariates, spatial dynamic panel models should be estimated …

measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors … inference using the level version of the equation seems superior to inference based on the equation in differences. -- Panel …

This paper investigates the finite sample properties of estimators for spatial dynamic panel models in the presence of … account for the endogeneity of several covariates, spatial dynamic panel models should be estimated using extended GMM. On a …

This paper considers estimation methods and inference for linear dynamic panel data models with unit … depth does not. Finally, we estimate a dynamic Mincer equation with data from the Panel Study of Income Dynamics to …

This paper considers estimation methods and inference for linear dynamic panel data models with unit …

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 …

that the bootstrap outperforms Parks's top competitor. The Parks estimator has been a workhorse for the analysis of panel …-section data 1995) developed an approach that uses the Prais-Winsten estimator together with "panel corrected standard errors … demonstrate its effectiveness using an innovative experimental approach that creates artificial panel datasets modelled after …

has been a workhorse for the analysis of panel data and seemingly unrelated regression equation systems because it allows … Katz (1995) developed an approach that uses the Prais-Winsten estimator together with “panel corrected standard errors … demonstrate its effectiveness using an experimental approach that creates artificial panel datasets modelled after actual panel …