Correcting For Spatial Effects In Limited Dependent Variable Regression: Assessing The Value Of "Ad-Hoc" Techniques
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),
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- Munroe, Darla K. & Southworth, Jane & Tucker, Catherine M., 2001. "The Dynamics Of Land-Cover Change In Western Honduras: Spatial Autocorrelation And Temporal Variation," 2001 Annual meeting, August 5-8, Chicago, IL 20759, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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9508, Université Laval - Département d'économique.
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- H. Kelejian, Harry & Prucha, Ingmar R., 2001. "On the asymptotic distribution of the Moran I test statistic with applications," Journal of Econometrics, Elsevier, vol. 104(2), pages 219-257, September.
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