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A Probit Model of Choice Dynamics

Author

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  • Purushottam Papatla

    (University of Wisconsin--Milwaukee)

  • Lakshman Krishnamurthi

    (Northwestern University)

Abstract

There are many products which are repeatedly purchased by consumers. In such cases it is likely that choice history, that is the sequence of choices made in the past, as well as marketing variables affect subsequent choice decisions. Attempts to model the effects of choice history have been generally based on the inclusion of variables that represent brand loyalty and/or variety seeking behavior. In this paper we present a model of dynamic choice behavior which is more general and incorporates four characteristics. The first characteristic labeled preference reinforcement and preference reduction represents loyalty and variety seeking. The second is the short-term reluctance of a consumer to move from the current brand (inertia) or the willingness to move to another brand (mobility). The third characteristic captures the effect of repetitive consumption (the long term effect) on inertia and mobility. The fourth characteristic incorporates the similarity or dissimilarity of choice alternatives. This is important in a dynamic model because choice on the current purchase occasion can be affected by whether a similar or dissimilar alternative was chosen on the previous occasion. Similarities of alternatives are represented in terms of distances. The effect of price on choice behavior is also modeled. Individual-level purchase data from a consumer panel are used to estimate a covariance probit and an independent probit specification of the model. From a substantive perspective the model gives interesting insights into the dynamics of choice behavior. The model predicts switches better than a benchmark model which incorporates only loyalty. In addition, it is superior to three benchmark models in overall predictive ability.

Suggested Citation

  • Purushottam Papatla & Lakshman Krishnamurthi, 1992. "A Probit Model of Choice Dynamics," Marketing Science, INFORMS, vol. 11(2), pages 189-206.
  • Handle: RePEc:inm:ormksc:v:11:y:1992:i:2:p:189-206
    DOI: 10.1287/mksc.11.2.189
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    Citations

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    Cited by:

    1. Yim, Chi Kin & Kannan, P. K., 1999. "Consumer Behavioral Loyalty:: A Segmentation Model and Analysis," Journal of Business Research, Elsevier, vol. 44(2), pages 75-92, February.
    2. 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.
    3. Paetz, Friederike & Steiner, Winfried J., 2018. "Utility independence versus IIA property in independent probit models," Journal of choice modelling, Elsevier, vol. 26(C), pages 41-47.
    4. Song, Lianlian & Shi, Yang & Tso, Geoffrey Kwok Fai & Lo, Hing Po, 2021. "Forecasting week-to-week television ratings using reduced-form and structural dynamic models," International Journal of Forecasting, Elsevier, vol. 37(1), pages 302-321.
    5. J. Miguel Villas-Boas, 2004. "Consumer Learning, Brand Loyalty, and Competition," Marketing Science, INFORMS, vol. 23(1), pages 134-145, December.
    6. Roy, Abhik, 1998. "An error components approach to segmentation and modelling brand choice dynamics," Journal of Economic Psychology, Elsevier, vol. 19(4), pages 463-484, August.
    7. Hudson, John, 2000. "A Bayesian approach to the evaluation of stochastic signals of product quality," Omega, Elsevier, vol. 28(5), pages 599-607, October.
    8. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 166-196, January.
    9. Krishnamurthi, Lakshman & Raj, S. P. & Sivakumar, K., 1995. "Unique inter-brand effects of price on brand choice," Journal of Business Research, Elsevier, vol. 34(1), pages 47-56, September.
    10. Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
    11. Staus, Alexander, 2011. "Which household attitudes determine the store type choice for meat?," Journal of Retailing and Consumer Services, Elsevier, vol. 18(3), pages 224-234.

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