We apply a heterogenous coefficient spatial autoregressive panel model from Aquaro, Bailey and Pesaran (2015) to … covering more than 487 days. The heterogeneous coefficients spatial autoregressive panel data model uses the large sample of …Wir nutzen ein räumliches autoregressives Panel-Datenmodell von Aquaro, Bailey und Pesaran (2015), um Wettbewerbs- bzw …

latent heterogeneity for panel probit models. Within a Bayesian framework an estimation algorithm dealing with the inherent … ; MCMC Methods ; Panel Probit Model ; Mixture Modelling …

This paper extends the work of Baltagi et al. (2018) to the popular dynamic panel data model. We investigate the … robustness of Bayesian panel data models to possible misspecication of the prior distribution. The proposed robust Bayesian … specifications which includes the dynamic panel model with random effects, with cross-correlated effects à la Chamberlain, for the …

The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two … performance of our estimator relative to classic panel estimators using data on earnings and crime. …

-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution … general “toolbox” for a wide range of specifications which includes the dynamic space- time panel model with random effects …, with cross-correlated effects à la Chamberlain, for the Hausman-Taylor world and for dynamic panel data models with …

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial … section dimensions of the panel are large. It derives the asymptotic covariance matrix of the QML estimators allowing for the … sample properties for panels with moderate time dimensions and irrespective of the number of cross section units in the panel …

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial … section dimensions of the panel are large. It derives the asymptotic covariance matrix of the QML estimators allowing for the … sample properties for panels with moderate time dimensions and irrespective of the number of cross section units in the panel …

small panels. -- spatial econometrics ; panel data ; random effects estimator ; within estimator ; Hausman test …

stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained …

This paper develops a time-varying coefficient spatial autoregressive panel data model with the individual fixed …