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A Flexible Class of Discrete Choice Models

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Author Info

  • S. R. Dalal

    (Bell Communications Research, Inc.)

  • R. W. Klein

    (Bell Communications Research, Inc.)

Abstract

In this paper, we propose a flexible class of discrete choice models. These models are flexible in that members of this class can approximate any discrete choice model obtained from utility maximization. All members of this class are intuitively easy to understand, consistent with utility maximization and do not suffer from the “independence of irrelevant alternatives” problem. In addition, there are members of this class for which maximum likelihood is a feasible estimation method even when the number of alternatives and/or attributes is large. Furthermore, appropriateness of specific functional forms can be explored graphically. We examine the properties of this class intuitively, theoretically, and in an empirical example.

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File URL: http://dx.doi.org/10.1287/mksc.7.3.232
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Bibliographic Info

Article provided by INFORMS in its journal Marketing Science.

Volume (Year): 7 (1988)
Issue (Month): 3 ()
Pages: 232-251

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Handle: RePEc:inm:ormksc:v:7:y:1988:i:3:p:232-251

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Keywords: approximating discrete choice models;

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Cited by:
  1. Allender, William J. & Richards, Timothy J., 2009. "Measures of Brand Loyalty," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49536, Agricultural and Applied Economics Association.
  2. Poirier, Dale J., 1996. "A Bayesian analysis of nested logit models," Journal of Econometrics, Elsevier, vol. 75(1), pages 163-181, November.
  3. Mattsson, Lars-Göran & Weibull, Jörgen W. & Lindberg, Per Olov, 2014. "Extreme values, invariance and choice probabilities," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 81-95.
  4. Manrai, Ajay K., 1995. "Mathematical models of brand choice behavior," European Journal of Operational Research, Elsevier, vol. 82(1), pages 1-17, April.
  5. F. Javier Casado-Izaga, 2000. "Location decisions: The role of uncertainty about consumer tastes," Journal of Economics, Springer, vol. 71(1), pages 31-46, February.

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