Modeling spatial discrete choice
The paper presents a basic spatial discrete choice modeling framework obtained by applying random utility theory to discrete choices made by heterogeneous spatially dependent individuals. The newly developed framework has two main advantages over existing approaches. First, individual decision-makers are no longer assumed to be independent and non-interacting but spatially interdependent in their preferences facilitating the development of applied discrete choice models using a wide range of spatial data. Second, pseudo maximum likelihood estimator is developed for this model that is consistent and computationally feasible for large datasets. The performance of the pseudo maximum likelihood estimator for the spatial discrete choice model is illustrated using simulated data.
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- Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.
- Smirnov, Oleg A. & Anselin, Luc E., 2009. "An O(N) parallel method of computing the Log-Jacobian of the variable transformation for models with spatial interaction on a lattice," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2980-2988, June.
- Koppelman, Frank S. & Sethi, Vaneet, 2005. "Incorporating variance and covariance heterogeneity in the Generalized Nested Logit model: an application to modeling long distance travel choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 39(9), pages 825-853, November.
- Brock,W.A. & Durlauf,S.N., 2004.
"Identification of binary choice models with social interactions,"
2, Wisconsin Madison - Social Systems.
- Brock, William A. & Durlauf, Steven N., 2007. "Identification of binary choice models with social interactions," Journal of Econometrics, Elsevier, vol. 140(1), pages 52-75, September.
- Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
- Brock,W.A. & Durlauf,S.N., 2000.
"Discrete choice with social interactions,"
7, Wisconsin Madison - Social Systems.
- Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
- Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, December.
- Anselin, Luc, 2002. "Under the hood Issues in the specification and interpretation of spatial regression models," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
- Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
- Elenna R Dugundji & L�szl� Guly�s, 2008. "Sociodynamic discrete choice on networks in space: impacts of agent heterogeneity on emergent outcomes," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 1028-1054, November.
- Bekhor, Shlomo & Prashker, Joseph N., 2008. "GEV-based destination choice models that account for unobserved similarities among alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 243-262, March.
- Jordan Louviere, 2006. "What You Don’t Know Might Hurt You: Some Unresolved Issues in the Design and Analysis of Discrete Choice Experiments," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 34(1), pages 173-188, 05.
- Case, Anne, 1992. "Neighborhood influence and technological change," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 491-508, September.
- Victor Aguirregabiria & Pedro Mira, 2004.
"Sequential Estimation Of Dynamic Discrete Games,"
- Antonio P�ez & Darren M Scott, 2007. "Social influence on travel behavior: a simulation example of the decision to telecommute," Environment and Planning A, Pion Ltd, London, vol. 39(3), pages 647-665, March.
- Murdoch, James C. & Sandler, Todd & Vijverberg, Wim P. M., 2003. "The participation decision versus the level of participation in an environmental treaty: a spatial probit analysis," Journal of Public Economics, Elsevier, vol. 87(2), pages 337-362, February.
- Dipankar Chakravarti & Atanu Sinha & Jaewhan Kim, 2005. "Choice Research: A Wealth of Perspectives," Marketing Letters, Springer, vol. 16(3), pages 173-182, December.
- Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, 05.
- Conley, Timothy G. & Topa, Giorgio, 2007. "Estimating dynamic local interactions models," Journal of Econometrics, Elsevier, vol. 140(1), pages 282-303, September.
- Klier, Thomas & McMillen, Daniel P, 2008. "Clustering of Auto Supplier Plants in the United States," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 460-471.
- Antonio P�ez & Darren M Scott & Erik Volz, 2008. "A discrete-choice approach to modeling social influence on individual decision making," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 1055-1069, November.
- H�vard Rue, 2001. "Fast sampling of Gaussian Markov random fields," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 325-338.
- Joris Pinkse & Margaret Slade & Lihong Shen, 2006. "Dynamic Spatial Discrete Choice Using One-step GMM: An Application to Mine Operating Decisions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(1), pages 53-99.
- Iglesias, Emma M. & Phillips, Garry D.A., 2008. "Asymptotic bias of GMM and GEL under possible nonstationary spatial dependence," Economics Letters, Elsevier, vol. 99(2), pages 393-397, May.
- Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
- Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
- Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, 09.
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