The two tests for spatial error components are the Kelejian-Robinson (KR) test and the LM test developed by Anselin (2001). We develop a new form for the LM test which facilitates comparisons to the KR test, and show why the LM test is superior. We develop a second test in the spirit of KR which overcomes this particular shortcoming, but in fact incurs a second shortcoming which renders it inferior even to the original KR test. We discuss this failure as well.Spatial error components LM test Kelejian-Robinson test
We propose a random effects panel data model with both spatially correlated error components and spa...
Objective: The purpose of the present research is to establish measurement equivalence and test diff...
The objective of this study is to investigate spatial structures of error in the assessment of conti...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
Published in Regional Science and Urban Economics, 2010. https://doi.org/10.1016/j.regsciurbeco.2009...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
Singapore Management UniversityPublished in Econometrics Journal, https://doi.org/10.1111/j.1368-423...
We propose two simple diagnostic tests for spatial error autocorrelation and spatial lag dependence....
The most of the existing LM tests for spatial dependence are derived under the assumption that error...
This note shows that for a spatial regression with equal weights, the LM test is always equal to NÂ ...
In this note, we compare three test statistics that have been suggested to assess the presence of sp...
This paper derives Lagrangian Multiplier tests to jointly test for functional form and spatial error...
Often, authors report materially different OLS and spatial error model estimates. However, under the...
We propose a random effects panel data model with both spatially correlated error components and spa...
Objective: The purpose of the present research is to establish measurement equivalence and test diff...
The objective of this study is to investigate spatial structures of error in the assessment of conti...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
Published in Regional Science and Urban Economics, 2010. https://doi.org/10.1016/j.regsciurbeco.2009...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
Singapore Management UniversityPublished in Econometrics Journal, https://doi.org/10.1111/j.1368-423...
We propose two simple diagnostic tests for spatial error autocorrelation and spatial lag dependence....
The most of the existing LM tests for spatial dependence are derived under the assumption that error...
This note shows that for a spatial regression with equal weights, the LM test is always equal to NÂ ...
In this note, we compare three test statistics that have been suggested to assess the presence of sp...
This paper derives Lagrangian Multiplier tests to jointly test for functional form and spatial error...
Often, authors report materially different OLS and spatial error model estimates. However, under the...
We propose a random effects panel data model with both spatially correlated error components and spa...
Objective: The purpose of the present research is to establish measurement equivalence and test diff...
The objective of this study is to investigate spatial structures of error in the assessment of conti...