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Preference endogeneity in discrete choice models

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  • Vij, Akshay
  • Walker, Joan L.

Abstract

Existing models of disaggregate decision-making assume that preferences, as indicated by taste parameters and choice sets, are characteristics of the decision-maker that are exogenous to the choice situation and stable over time. Though the assumption has allowed travel demand analysts to use these models to forecast changes in observable behavior in response to changes in the decision-making environment, the assumption has overlooked the influence of these changes on the preferences underlying observable behavior. As a consequence, the use of these models has been limited to forecasting horizons over which preferences can reasonably be assumed to be stable. We build on Latent Class Choice Models (LCCMs) to allow for preference endogeneity. Conventional LCCMs formulate class membership as some function of the decision-maker’s characteristics, but they ignore the impact of alternative attributes, which usually enter the class-specific choice models, on class membership. In this paper we introduce LCCMs with feedback from the class-specific choice models to the class membership model through the construct of consumer surplus. Class membership is hypothesized to be a function not only of the characteristics of the decision-maker but also of the consumer surplus offered by each class, which in turn is a function of alternative attributes, taste parameters and choice sets. The framework is applied to a case study on travel mode choice behavior. A comparison between LCCMs with feedback and traditional models that do not allow for preference endogeneity finds that the former performs better in terms of fit and offers greater behavioral insights, and that the latter can lead to biased forecasts.

Suggested Citation

  • Vij, Akshay & Walker, Joan L., 2014. "Preference endogeneity in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 90-105.
  • Handle: RePEc:eee:transb:v:64:y:2014:i:c:p:90-105
    DOI: 10.1016/j.trb.2014.02.008
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    as
    1. Parthasarathi, Pavithra & Levinson, David, 2010. "Post-construction evaluation of traffic forecast accuracy," Transport Policy, Elsevier, vol. 17(6), pages 428-443, November.
    2. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    3. repec:bla:econom:v:40:y:1973:i:159:p:241-59 is not listed on IDEAS
    4. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    5. Pollak, Robert A, 1978. "Endogenous Tastes in Demand and Welfare Analysis," American Economic Review, American Economic Association, vol. 68(2), pages 374-379, May.
    6. Hirschman, Albert O, 1982. "Rival Interpretations of Market Society: Civilizing, Destructive, or Feeble?," Journal of Economic Literature, American Economic Association, vol. 20(4), pages 1463-1484, December.
    7. Teichert, Thorsten & Shehu, Edlira & von Wartburg, Iwan, 2008. "Customer segmentation revisited: The case of the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 227-242, January.
    8. Samuel Bowles, 1998. "Endogenous Preferences: The Cultural Consequences of Markets and Other Economic Institutions," Journal of Economic Literature, American Economic Association, vol. 36(1), pages 75-111, March.
    9. Gunn, Hugh, 0. "Spatial and temporal transferability of relationships between travel demand, trip cost and travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 163-189, April.
    10. Olaru, Doina & Smith, Brett & Taplin, John H.E., 2011. "Residential location and transit-oriented development in a new rail corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 219-237, March.
    11. Wen, Chieh-Hua & Lai, Shan-Ching, 2010. "Latent class models of international air carrier choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(2), pages 211-221, March.
    12. William H. Greene & David A. Hensher, 2013. "Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1897-1902, May.
    13. José Grisolía & Kenneth Willis, 2012. "A latent class model of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 113-139, May.
    14. von Weizsacker, Carl Christian, 1971. "Notes on endogenous change of tastes," Journal of Economic Theory, Elsevier, vol. 3(4), pages 345-372, December.
    15. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," University of California Transportation Center, Working Papers qt7vg1057g, University of California Transportation Center.
    16. Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
    17. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    18. Chandra R. Bhat, 1997. "An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel," Transportation Science, INFORMS, vol. 31(1), pages 34-48, February.
    19. sarah Brown & Mark N Harris & Karl Taylor, 2010. "Modelling Charitable Donations: A Latent Class Panel Approach," Working Papers 2010017, The University of Sheffield, Department of Economics, revised Sep 2010.
    20. H C W L Williams, 1977. "On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit," Environment and Planning A, , vol. 9(3), pages 285-344, March.
    21. Tversky, Amos & Thaler, Richard H, 1990. "Anomalies: Preference Reversals," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 201-211, Spring.
    22. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    23. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    24. Hwan Chung & Brian P. Flaherty & Joseph L. Schafer, 2006. "Latent class logistic regression: application to marijuana use and attitudes among high school seniors," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 723-743, October.
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