panel data models with spatial autoregressive disturbances and heteroskedasticity of unknown form in the idiosyncratic error …

This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial …

panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial …

cross-sectional spatial autoregressive model to the random effects spatial autoregressive panel data model. It also suggests … an extension of the Baltagi (1981) error component 2SLS estimator to this spatial panel model …

spatially correlated errors in static panel data models, is extended by introducing fixed effects, a spatial lag, and a one …-period lag of the dependent variable as additional explanatory variables. Combining this approach with the dynamic panel-data GMM …, spatial lags, and sets of exogenous variables yields new spatial dynamic panel data estimators. The proposed spatially …

corrects for spatially correlated errors in static panel data models, by introducing a spatial lag and a one-period lag of the … the dynamic panel data model GMM estimators of Arellano and Bond (1991) and Blundell and Bond (1998) and supplementing the … dynamic panel data estimators. The performance of these spatial dynamic panel data estimators is investigated by means of …

endogenous regressors for cross section and panel data. The estimators included in this package are simple Poisson pseudo ML; GMM … Poisson for panel data; GMM estimation using quasi-differenced moment conditions eliminating unobserved heterogeneity and …