Data/hora: 12/06/2024 15:23:06

Provedor de dados: 	31	
País: 	United States	
Título: 	CORRECTING FOR SPATIAL EFFECTS IN LIMITED DEPENDENT VARIABLE REGRESSION: ASSESSING THE VALUE OF "AD-HOC" TECHNIQUES	
Autores: 	De Pinto,   Alessandro; Nelson,   Gerald C.	
Data: 	2002-05-15	
Ano: 	2002	
Palavras-chave: 	Moran’'s I; Spatial Autocorrelation; Limited Dependent Variable Models; Land-Use Change; Geographical Information Systems (GIS); Research Methods/ Statistical Methods.	
Resumo: 	A common test for spatial dependence in regression analysis with continuous dependent variables is the Moran’'s I.  For limited dependent variable models, the standard definition of a residual breaks down because yi is qualitative. Efforts to correct for potential spatial effects in limited dependent variable models have relied on ad-hoc methods such as including a spatial lag variable or using a regular sample that omits neighboring observations. Kelejian and Prucha have recently developed a version of Moran’'s I for limited dependent variable models. We present the statistic in a more accessible way and use it to test the value of previously-used ad-hoc techniques with a specific data set.  Keywords: Moran’s I, Spatial Autocorrelation, Limited Dependent Variable Models, Land-Use Change, Geographical Information Systems (GIS),	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	4516

http://purl.umn.edu/19782	
Editor: 	AgEcon Search	
Relação: 	American Agricultural Economics Association&gt;2002 Annual meeting, July 28-31, Long Beach, CA

Selected Paper	
Formato: 	20

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