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A new family of qualitative choice models: An application of reference models to travel mode choice

Author

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  • Helene Bouscasse Newinger

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - INRA - Institut National de la Recherche Agronomique - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement)

  • Iragaël Joly

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology)

  • Jean Peyhardi

    (IGF - Institut de Génomique Fonctionnelle - INSERM - Institut National de la Santé et de la Recherche Médicale - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique, CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper considers the recently introduced family of reference models dedicated to non-ordered alternatives. The link function of reference models is that of the multinomial logit model (MNL) replacing the logistic cumulative distribution function (cdf) by other cdfs (e.g., Gumbel, Student). We determine all usual economic outputs (willingness-to-pay, elasticities,...). We also show that the IIA property generally does not hold for this family of models, because of their noninvariance to the alternative chosen as a reference. We estimate and compare five reference models to the MNL on a travel mode-choice survey: according to the chosen cdf, reference models lead to a better fit and retrieve consistent economic outputs estimations even when there is a high unobserved heterogeneity.

Suggested Citation

  • Helene Bouscasse Newinger & Iragaël Joly & Jean Peyhardi, 2019. "A new family of qualitative choice models: An application of reference models to travel mode choice," Post-Print hal-01984289, HAL.
    • Handle: RePEc:hal:journl:hal-01984289
    DOI: 10.1016/j.trb.2018.12.010
    Note: View the original document on HAL open archive server: https://hal.science/hal-01984289
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    1. Katrin Millock & Céline Nauges, 2010. "Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors, Environmental Attitudes and Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(4), pages 539-565, August.
    2. Feng, D. & Gourieroux, C. & Jasiak, J., 2008. "The ordered qualitative model for credit rating transitions," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 111-130, January.
    3. Small, Kenneth A, 1987. "A Discrete Choice Model for Ordered Alternatives," Econometrica, Econometric Society, vol. 55(2), pages 409-424, March.
    4. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    5. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    6. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    7. Astrid De Witte & Joachim Hollevoet & Frédéric Dobruszkes & Michel Hubert & Cathy Macharis, 2013. "Linking modal choice to motility: a comprehensive review," ULB Institutional Repository 2013/138176, ULB -- Universite Libre de Bruxelles.
    8. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.
    9. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    10. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    11. Glerum, Aurélie & Atasoy, Bilge & Bierlaire, Michel, 2014. "Using semi-open questions to integrate perceptions in choice models," Journal of choice modelling, Elsevier, vol. 10(C), pages 11-33.
    12. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    13. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    14. Sheffi, Yosef, 1979. "Estimating choice probabilities among nested alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 13(3), pages 189-205, September.
    15. Jacques-François Thisse & Antoine Billot, 1995. "Modèles de choix individuels discrets : théorie et applications à la micro-économie," Revue Économique, Programme National Persée, vol. 46(3), pages 921-931.
    16. Abrantes, Pedro A.L. & Wardman, Mark R., 2011. "Meta-analysis of UK values of travel time: An update," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 1-17, January.
    17. Gerard de Jong & Hugh Gunn, 2001. "Recent Evidence on Car Cost and Time Elasticities of Travel Demand in Europe," Journal of Transport Economics and Policy, University of Bath, vol. 35(2), pages 137-160, May.
    18. Andrew S. Fullerton, 2009. "A Conceptual Framework for Ordered Logistic Regression Models," Sociological Methods & Research, , vol. 38(2), pages 306-347, November.
    19. Kahn, Lawrence M & Morimune, Kimio, 1979. "Unions and Employment Stability: A Sequential Logit Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(1), pages 217-235, February.
    20. Tutz, Gerhard, 1991. "Sequential models in categorical regression," Computational Statistics & Data Analysis, Elsevier, vol. 11(3), pages 275-295, May.
    21. Kerr, Geoffrey N. & Sharp, Basil M.H., 2009. "Efficient design for willingness to pay in choice experiments: evidence from the field," 2009 Conference, August 27-28, 2009, Nelson, New Zealand 97156, New Zealand Agricultural and Resource Economics Society.
    22. Moshe Ben-Akiva & Joffre Swait, 1986. "The Akaike Likelihood Ratio Index," Transportation Science, INFORMS, vol. 20(2), pages 133-136, May.
    23. Rosalie Viney & Elizabeth Savage & Jordan Louviere, 2005. "Empirical investigation of experimental design properties of discrete choice experiments in health care," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 349-362, April.
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    Cited by:

    1. Jean Peyhardi, 2020. "Robustness of Student link function in multinomial choice models," Post-Print hal-03227808, HAL.
    2. Peyhardi, Dr Jean, 2020. "Robustness of Student link function in multinomial choice models," Journal of choice modelling, Elsevier, vol. 36(C).
    3. Sheu, Jiuh-Biing, 2024. "Mass evacuation planning for disasters management: A household evacuation route choice behavior analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    4. Senlai Zhu & Jie Ma & Tianpei Tang & Quan Shi, 2020. "A Combined Modal and Route Choice Behavioral Complementarity Equilibrium Model with Users of Vehicles and Electric Bicycles," IJERPH, MDPI, vol. 17(10), pages 1-18, May.
    5. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).

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