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Models of Multi-Category Choice Behavior

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Abstract

Given the advent of basket-level purchasing data of households, choice modelers are actively engaged in the development of statistical and econometric models of multi-category choice behavior of households. This paper reviews current developments in this area of research, discussing the modeling methodologies that have been used, the empirical findings that have emerged so far, and directions for future research. We also motivate the use of Bayesian methods to overcome the computational challenges involved in estimation.

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Authors and Affiliations

  1. Rice University, Campus Box 2932, MS 531, Houston, TX, 77252

    P. B. Seetharaman

  2. Washington University, St. Louis

    Siddhartha Chib & Tat Chan

  3. University of California, Los Angeles

    Andrew Ainslie

  4. Carnegie Mellon University, USA

    Peter Boatwright

  5. Cornell University, USA

    Sachin Gupta & Vithala Rao

  6. University of Toronto, Toronto

    Nitin Mehta

  7. University of Texas, Dallas

    Andrei Strijnev

Authors
  1. P. B. Seetharaman
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  2. Siddhartha Chib
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  3. Andrew Ainslie
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  4. Peter Boatwright
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  5. Tat Chan
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  7. Nitin Mehta
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  8. Vithala Rao
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  9. Andrei Strijnev
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Correspondence to P. B. Seetharaman.

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Seetharaman, P.B., Chib, S., Ainslie, A. et al. Models of Multi-Category Choice Behavior. Market Lett 16, 239–254 (2005). https://doi.org/10.1007/s11002-005-5888-y

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