This paper presents a test based on the principle of Lagrange Multipliers to identify spatial instability in the constant coefficient of regression models including substantive spatial dependence. The test has been adapted to the Scan methodology. Its main advantage is that it identifies areas with differential behavior without the need to provide information about their location, shape, or size. The study shows the utility of the test, reconsidering the results obtained by Mur et al.(2008) about instability in the distribution of per capita income in European regions
It has now been more than two decades since Cliff and Ord (1972) and Hordijk (1974) applied the prin...
This paper derives some exact power properties of tests for spatial autocorrelation in the context o...
Abstract. Spatial regression models incorporating non-stationarity in the regression coefficients ar...
International audienceWe propose a scan test for the presence of spatial groupwise heteroskedasticit...
To test the existence of spatial dependence in an econometric model, a convenient test is the Lagran...
To test the existence of spatial dependence in an econometric model, a convenient test is the Lagran...
DR LEO 2009-12This paper derives several Lagrange Multiplier statistics and the corresponding<br />l...
We propose two simple diagnostic tests for spatial error autocorrelation and spatial lag dependence....
This paper investigates nonlinearity in parametric spatial process models that incorporate regime-sw...
This contribution is an introduction to the main topics of spatial econometrics. We start analyzing ...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
The objective of this paper is to advance in the discussion of the topic of heterogeneity in a spati...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
A simple and reliable method of inference for the spatial parameter in spatial autore-gressive model...
For testing lack of correlation against spatial autoregressive alternatives, Lagrange multiplier tes...
It has now been more than two decades since Cliff and Ord (1972) and Hordijk (1974) applied the prin...
This paper derives some exact power properties of tests for spatial autocorrelation in the context o...
Abstract. Spatial regression models incorporating non-stationarity in the regression coefficients ar...
International audienceWe propose a scan test for the presence of spatial groupwise heteroskedasticit...
To test the existence of spatial dependence in an econometric model, a convenient test is the Lagran...
To test the existence of spatial dependence in an econometric model, a convenient test is the Lagran...
DR LEO 2009-12This paper derives several Lagrange Multiplier statistics and the corresponding<br />l...
We propose two simple diagnostic tests for spatial error autocorrelation and spatial lag dependence....
This paper investigates nonlinearity in parametric spatial process models that incorporate regime-sw...
This contribution is an introduction to the main topics of spatial econometrics. We start analyzing ...
This paper presents a modified LM test of spatial error components, which is shown to be robust agai...
The objective of this paper is to advance in the discussion of the topic of heterogeneity in a spati...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
A simple and reliable method of inference for the spatial parameter in spatial autore-gressive model...
For testing lack of correlation against spatial autoregressive alternatives, Lagrange multiplier tes...
It has now been more than two decades since Cliff and Ord (1972) and Hordijk (1974) applied the prin...
This paper derives some exact power properties of tests for spatial autocorrelation in the context o...
Abstract. Spatial regression models incorporating non-stationarity in the regression coefficients ar...