Add to ORKGOften, authors report materially different OLS and spatial error model estimates. However, under the null of correct specification, these estimates should be similar. We propose a spatial Hausman test and conduct a Monte Carlo experiment to examine its performance.Spatial autoregression Specification test Spatial econometrics SAR SEM
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
Econometric modelling and statistical inference are considerably complicated by the possibility of ...
In this paper I will give a brief and general overview of the characteristics of spatial data, why i...
Spatial autoregressive (SAR) and related models offer flexible yet parsimonious ways to model spatia...
Spatial autoregressive (SAR) and related models offer flexible yet parsimonious ways to model spatial...
Rao\u27s score test provides an extremely useful framework for developing diagnostics against hypoth...
<p>This article considers a simple test for the correct specification of linear spatial autoregressi...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
Spatial Modeling has been one of the important parts in Applied Econometrics as well as Econometrics...
Spatial regression models provide the opportunity to analyse spatial data and spatial processes. Yet...
A simple and reliable method of inference for the spatial parameter in spatial autore-gressive model...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
In this note, we compare three test statistics that have been suggested to assess the presence of sp...
Spatial regression models provide the opportunity to analyze spatial data and spatial processes. Yet...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
Econometric modelling and statistical inference are considerably complicated by the possibility of ...
In this paper I will give a brief and general overview of the characteristics of spatial data, why i...
Spatial autoregressive (SAR) and related models offer flexible yet parsimonious ways to model spatia...
Spatial autoregressive (SAR) and related models offer flexible yet parsimonious ways to model spatial...
Rao\u27s score test provides an extremely useful framework for developing diagnostics against hypoth...
<p>This article considers a simple test for the correct specification of linear spatial autoregressi...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
Spatial Modeling has been one of the important parts in Applied Econometrics as well as Econometrics...
Spatial regression models provide the opportunity to analyse spatial data and spatial processes. Yet...
A simple and reliable method of inference for the spatial parameter in spatial autore-gressive model...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
In this note, we compare three test statistics that have been suggested to assess the presence of sp...
Spatial regression models provide the opportunity to analyze spatial data and spatial processes. Yet...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
Econometric modelling and statistical inference are considerably complicated by the possibility of ...
In this paper I will give a brief and general overview of the characteristics of spatial data, why i...