This paper derives a joint Lagrange Multiplier (LM) test which simultaneously tests for the absence of spatial lag dependence and random individual effects in a panel data regression model. It turns out that this LM statistic is the sum of two standard LM statistics. The first one tests for the absence of spatial lag dependence ignoring the random individual effects, and the second one tests for the absence of random individual effects ignoring the spatial lag dependence. This paper also derives two conditional LM tests. The first one tests for the absence of random individual effects without ignoring the possible presence of spatial lag dependence. The second one tests for the absence of spatial lag dependence without ignoring the possible...
The most of the existing LM tests for spatial dependence are derived under the assumption that error...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
1It is described a procedure for maximum likelihood estimation of panel models incorporating: random...
We propose a random effects panel data model with both spatially correlated error components and spa...
A panel data regression model with heteroskedastic as well as spatially correlated disturbance is co...
A panel data regression model with heteroskedastic as well as spatially correlated disturbances is c...
It is well known that the standard Breusch and Pagan (1980) LM test for cross-equation correlation i...
DR LEO 2009-12This paper derives several Lagrange Multiplier statistics and the corresponding<br />l...
This note shows that for a spatial regression with equal weights, the LM test is always equal to NÂ ...
Based on a large number of Monte Carlo simulation experiments on a regular lattice, we compare the p...
This paper derives a simple lagrange multiplier (LM) test which jointly tests the presence of random...
We propose two simple diagnostic tests for spatial error autocorrelation and spatial lag dependence....
The standard LM tests for spatial dependence in linear and panel regressions are derived under the n...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This article investigates spatial panel data models with a spacetime filter in disturbances. We cons...
The most of the existing LM tests for spatial dependence are derived under the assumption that error...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
1It is described a procedure for maximum likelihood estimation of panel models incorporating: random...
We propose a random effects panel data model with both spatially correlated error components and spa...
A panel data regression model with heteroskedastic as well as spatially correlated disturbance is co...
A panel data regression model with heteroskedastic as well as spatially correlated disturbances is c...
It is well known that the standard Breusch and Pagan (1980) LM test for cross-equation correlation i...
DR LEO 2009-12This paper derives several Lagrange Multiplier statistics and the corresponding<br />l...
This note shows that for a spatial regression with equal weights, the LM test is always equal to NÂ ...
Based on a large number of Monte Carlo simulation experiments on a regular lattice, we compare the p...
This paper derives a simple lagrange multiplier (LM) test which jointly tests the presence of random...
We propose two simple diagnostic tests for spatial error autocorrelation and spatial lag dependence....
The standard LM tests for spatial dependence in linear and panel regressions are derived under the n...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This article investigates spatial panel data models with a spacetime filter in disturbances. We cons...
The most of the existing LM tests for spatial dependence are derived under the assumption that error...
This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only re...
1It is described a procedure for maximum likelihood estimation of panel models incorporating: random...