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Rational inattention in discrete choice models: Estimable specifications of RI-multinomial logit (RI-MNL) and RI-nested logit (RI-NL) models

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  • Habib, Khandker Nurul

Abstract

As opposed to the fully informed choice-making assumption in classical discrete choice models, the theory of Rational Inattention (RI)11RI is used interchangeably for ‘Rational Inattention’ or ‘Rationally Inattentive’ throughout the paper in discrete choice modelling has been recently proposed in the literature. Matějka and McKay (2015) proposed the RI-multinomial logit (RI-MNL), and Fosgerau et al. (2020) proposed the RI-nested logit (RI-NL) model. These models consider that choice makers are bayesian agents with prior probabilities of choices and process any further information assuming an information processing cost to have the updated/posterior choice probabilities. However, the proposed RI-MNL and RI-NL models are theoretical formulations without any estimable empirical specifications. This paper proposes econometric formulations of RI-MNL and RI-NL models that are estimable using classical maximum likelihood estimation methods and suitable for revealed crossectional choice data. The proposed models are estimated for commuting mode choices in the Greater Toronto and Hamilton Area (GTHA) using data from a household travel survey conducted in the region. Empirical investigation reveals that the induction of RI in the classical discrete choice models (MNL and NL) improves the model fit by large margins. While scale parameterization in classical MNL and NL does not make a better model, the scale parameterization better captures the choice heterogeneity within the RI framework. Between the RI-MNL and RI-NL, the RI-NL is proven to be the best. The RI-NL model can capture asymmetric (between increasing and decreasing values) elasticities of choice attributes.

Suggested Citation

  • Habib, Khandker Nurul, 2023. "Rational inattention in discrete choice models: Estimable specifications of RI-multinomial logit (RI-MNL) and RI-nested logit (RI-NL) models," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 53-70.
    • Handle: RePEc:eee:transb:v:172:y:2023:i:c:p:53-70
    DOI: 10.1016/j.trb.2023.03.010
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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Eugenio Megías & Jose A. S. Lima & Airton Deppman, 2022. "Transport Equation for Small Systems and Nonadditive Entropy," Mathematics, MDPI, vol. 10(10), pages 1-9, May.
    3. Filip Matêjka & Alisdair McKay, 2015. "Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model," American Economic Review, American Economic Association, vol. 105(1), pages 272-298, January.
    4. Mogens Fosgerau & Emerson Melo & André de Palma & Matthew Shum, 2020. "Discrete Choice And Rational Inattention: A General Equivalence Result," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1569-1589, November.
    5. Daniel K. Lew & John C. Whitehead, 2020. "Attribute Non-attendance as an Information Processing Strategy in Stated Preference Choice Experiments: Origins, Current Practices, and Future Directions," Marine Resource Economics, University of Chicago Press, vol. 35(3), pages 285-317.
    6. Sudha G. & Ganesan K., 2022. "Interval-Fuzzy Fixed Charge Transportation Problems," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 11(3), pages 1-14, July.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    8. Habib, Khandker M. Nurul & Swait, Joffre & Salem, Sarah, 2014. "Using repeated cross-sectional travel surveys to enhance forecasting robustness: Accounting for changing mode preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 110-126.
    9. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    10. Sims, Christopher A., 2010. "Rational Inattention and Monetary Economics," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 4, pages 155-181, Elsevier.
    11. Joel L. Horowitz, 1983. "Statistical Comparison of Non-Nested Probabilistic Discrete Choice Models," Transportation Science, INFORMS, vol. 17(3), pages 319-350, August.
    12. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    13. Habib, Khandker M. Nurul & Sasic, Ana, 2014. "A GEV model with scale heterogeneity for investigating the role of mobility tool ownership in peak period non-work travel mode choices," Journal of choice modelling, Elsevier, vol. 10(C), pages 46-59.
    14. Cantillo, Víctor & Ortúzar, Juan de Dios, 2005. "A semi-compensatory discrete choice model with explicit attribute thresholds of perception," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 641-657, August.
    15. Itf, 2022. "ITF North and Central Asia Transport Outlook," International Transport Forum Policy Papers 105, OECD Publishing.
    16. Hebert, Benjamin & Woodford, Michael, 2017. "Rational Inattention with Sequential Information Sampling," Research Papers repec:ecl:stabus:3457, Stanford University, Graduate School of Business.
    17. Albert Y. S. Lam & Bogusław Łazarz & Grzegorz Peruń, 2022. "Smart Energy and Intelligent Transportation Systems," Energies, MDPI, vol. 15(8), pages 1-3, April.
    18. Itf, 2022. "ITF South and Southwest Asia Transport Outlook," International Transport Forum Policy Papers 104, OECD Publishing.
    19. Adriana Grigorescu & Amalia-Elena Ion, 2022. "Greening the European Freight Transport," Springer Proceedings in Business and Economics, in: Mihail Busu (ed.), Digital Economy and New Value Creation, pages 25-45, Springer.
    20. Hensher, David A. & Rose, John M., 2009. "Simplifying choice through attribute preservation or non-attendance: Implications for willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 583-590, July.
    Full references (including those not matched with items on IDEAS)

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