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Techniques for Estimating Spatially Dependent Discrete Choice Models

In: Advances in Spatial Econometrics

Author

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  • Mark M. Fleming

    (Fannie Mae Foundation)

Abstract

Much has been written on the techniques for dealing with spatial dependence, spatial lag and spatial error, in continuous econometric models (e.g., Anselin, 1980, 1990; Anselin and Bera, 1998; Griffith, 1987; Kelejian and Prucha, 1998, 1999). The study of spatial dependence in discrete choice models, particularly in the context of the spatial probit model (e.g., Case, 1992; McMillen, 1992, 1995a; Bolduc et al., 1997; Pinkse and Slade, 1998, and Chapter 8 in this volume), has received less attention in the literature. This may be in part due to the added complexity that spatial dependence introduces into discrete choice models and the resulting need for more complex estimators.

Suggested Citation

  • Mark M. Fleming, 2004. "Techniques for Estimating Spatially Dependent Discrete Choice Models," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 7, pages 145-168, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-05617-2_7
    DOI: 10.1007/978-3-662-05617-2_7
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