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Discrete choice with an oddball alternative

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  • Recker, W. W.

Abstract

A discrete choice model is presented that explicitly recognizes differences in the error structure associated with a single "oddball" alternative within the choice set that has properties not common to the other alternatives. The model purportedly resolves questions related to the use of alternative-specific variables in transportation choice models to capture the effects of attributes unique to a single travel alternative, such as "schedule frequency" in the case of modal choice between personal auto and public transit. The model, which shares the general error structure of multinomial logit, is shown to be a modification of a multinomial logit subchoice by terms involving the exponential integral. The model is shown to yield different results from those produced by an equivalent multinomial logit specification. Comparisons to multinomial probit and nested logit formulations are also made.

Suggested Citation

  • Recker, W. W., 1995. "Discrete choice with an oddball alternative," Transportation Research Part B: Methodological, Elsevier, vol. 29(3), pages 201-211, June.
    • Handle: RePEc:eee:transb:v:29:y:1995:i:3:p:201-211
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    1. Joel L. Horowitz, 1983. "Statistical Comparison of Non-Nested Probabilistic Discrete Choice Models," Transportation Science, INFORMS, vol. 17(3), pages 319-350, August.
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    1. del Castillo, J.M., 2016. "A class of RUM choice models that includes the model in which the utility has logistic distributed errors," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 1-20.
    2. Koppelman, Frank S. & Wen, Chieh-Hua, 2000. "The paired combinatorial logit model: properties, estimation and application," Transportation Research Part B: Methodological, Elsevier, vol. 34(2), pages 75-89, February.
    3. Brathwaite, Timothy & Walker, Joan L., 2018. "Asymmetric, closed-form, finite-parameter models of multinomial choice," Journal of choice modelling, Elsevier, vol. 29(C), pages 78-112.
    4. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.

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