CORRECTING FOR SPATIAL EFFECTS IN LIMITED DEPENDENT VARIABLE REGRESSION: ASSESSING THE VALUE OF "AD-HOC" TECHNIQUES
| dc.creator | De Pinto, Alessandro | |
| dc.creator | Nelson, Gerald C. | |
| dc.date | 2017-04-01T13:57:33Z | |
| dc.date.accessioned | 2026-07-09T03:29:03Z | |
| dc.description | 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), | |
| dc.identifier | doi:10.22004/ag.econ.19782 | |
| dc.identifier | https://ageconsearch.umn.edu/record/19782/files/sp02ne02.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/19782 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/533312 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/19782 | |
| dc.title | CORRECTING FOR SPATIAL EFFECTS IN LIMITED DEPENDENT VARIABLE REGRESSION: ASSESSING THE VALUE OF "AD-HOC" TECHNIQUES | |
| dc.type | Text |