A mixed spatially correlated logit model: formulation and application to residential choice modeling
Abstract
In recent years, there have been important developments in the simulation analysis of the mixed multinomial logit model as well as in the formulation of increasingly flexible closed-form models belonging to the generalized extreme value class. In this paper, we bring these developments together to propose a mixed spatially correlated logit (MSCL) model for location-related choices. The MSCL model represents a powerful approach to capture both random taste variations as well as spatial correlation in location choice analysis. The MSCL model is applied to an analysis of residential location choice using data drawn from the 1996 Dallas-Fort Worth household survey. The empirical results underscore the need to capture unobserved taste variations and spatial correlation, both for improved data fit and the realistic assessment of the effect of sociodemographic, transportation system, and land-use changes on residential location choice.Download Info
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Bibliographic Info
Article provided by Elsevier in its journal Transportation Research Part B: Methodological.
Volume (Year): 38 (2004)
Issue (Month): 2 (February)
Pages: 147-168
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Sigal Kaplan & Shlomo Bekhor & Yoram Shiftan, 2011. "Development and estimation of a semi-compensatory residential choice model based on explicit choice protocols," The Annals of Regional Science, Springer, vol. 47(1), pages 51-80, August.
- Joan L. Walker & Moshe Ben-Akiva & Denis Bolduc, 2007. "Identification of parameters in normal error component logit-mixture (NECLM) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1095-1125.
- Stephane Hess & Denis Bolduc & John Polak, 2005.
"Random Covariance Heterogeneity in Discrete Choice Models,"
ERSA conference papers
ersa05p375, European Regional Science Association.
- Stephane Hess & Denis Bolduc & John Polak, 2010. "Random covariance heterogeneity in discrete choice models," Transportation, Springer, vol. 37(3), pages 391-411, May.
- Ignacio A. Inoa & Nathalie Picard & André de Palma, 2013.
"Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model,"
THEMA Working Papers
2013-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Ignacio A. Inoa & Nathalie Picard & André De Palma, 2013. "Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model," Working Papers hal-00776945, HAL.
- Sigal Kaplan & Yoram Shiftan & Shlomo Bekhor, 2011. "A Semi-Compensatory Residential Choice Model With Flexible Error Structure," ERSA conference papers ersa10p65, European Regional Science Association.
- Dalal, Pamela & Chen, Yali & Ravulaparthy, Srinath & Goulias, Konstadinos G., 2012. "Dynamic Opportunity-Based Multipurpose Accessibility Indicators in California," University of California Transportation Center, Working Papers qt474714fg, University of California Transportation Center.
- Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
- Ulimwengu, John M. & Guo, Xiaoqi, 2004. "Modeling Spatial Accessibility Within Discrete Choice Framework," 2004 Annual meeting, August 1-4, Denver, CO 20170, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Smirnov, Oleg A., 2010. "Modeling spatial discrete choice," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 292-298, September.
- Hunt, Len M. & Boxall, Peter C. & Boots, Barry, 2007. "Accommodating Complex Substitution Patterns in a Random Utility Model of Recreational Fishing," Marine Resource Economics, Marine Resources Foundation, vol. 22(2).
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