文章基本信息

标题：CORRECTING FOR SPATIAL EFFECTS IN LIMITED DEPENDENT VARIABLE REGRESSION: ASSESSING THE VALUE OF "AD-HOC" TECHNIQUES
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作者：De Pinto, Alessandro ; Nelson, Gerald C.
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2002
期号：SUPPL
出版社：Food Distribution Research Society
摘要：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: Morans I, Spatial Autocorrelation, Limited Dependent Variable Models, Land-Use Change, Geographical Information Systems (GIS),
关键词：Moran's I;Spatial Autocorrelation;Limited Dependent Variable Models;Land-Use Change;Geographical Information Systems (GIS)