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An Unconditional Competing Risk Hazard Model of Consumer Store-Choice Dynamics

Author

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  • P T L Popkowski Leszczyc

    (Department of Marketing and Economic Analysis, University of Alberta, Edmonton T6G 2R6, Canada)

  • H J P Timmermans

    (Department of Marketing and Economic Analysis, University of Alberta, Edmonton T6G 2R6, Canada; Department of Architecture and Urban Planning, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands)

Abstract

In this paper an unconditional competing risk hazard model of consumer store-choice dynamics is developed and tested as an alternative to the negative binomial and Dirichlet models of store choice introduced in the urban planning literature by Wrigley and Dunn. The hazard model is less restrictive in terms of its assumptions regarding duration effects. It is also more flexible in that various distributions can be incorporated into the model, leading to different store choice dynamics. An empirical example, based on Nielsen scanner panel data for Springfield, MO, is provided to illustrate the modelling approach. Results indicate that the model represents the observed store-choice dynamics satisfactorily.

Suggested Citation

  • P T L Popkowski Leszczyc & H J P Timmermans, 1996. "An Unconditional Competing Risk Hazard Model of Consumer Store-Choice Dynamics," Environment and Planning A, , vol. 28(2), pages 357-368, February.
    • Handle: RePEc:sae:envira:v:28:y:1996:i:2:p:357-368
    DOI: 10.1068/a280357
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    References listed on IDEAS

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    1. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
    2. N Wrigley & R Dunn, 1985. "Stochastic Panel-Data Models of Urban Shopping Behaviour: 4. Incorporating Independent Variables into the NBD and Dirichlet Models," Environment and Planning A, , vol. 17(3), pages 319-331, March.
    3. N/A, 1980. "Research in Progress," ILR Review, Cornell University, ILR School, vol. 33(4), pages 583-595, July.
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    5. N/A, 1980. "Research in Progress," ILR Review, Cornell University, ILR School, vol. 33(3), pages 428-442, April.
    6. A. Stewart Fotheringham, 1988. "Note—Consumer Store Choice and Choice Set Definition," Marketing Science, INFORMS, vol. 7(3), pages 299-310.
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    1. Olearius, G. & Roosen, J. & Drescher, L., 2012. "A Hazard Analysis of Consumers’ Switching Behaviour in German Food Retailing For Dairy Products," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 47, March.
    2. Rob Crouchley & Reza Oskrochi, 2000. "Testing for Origin Dependence in Socioeconomic Duration Data," Environment and Planning A, , vol. 32(10), pages 1857-1868, October.
    3. S Reader & F R McNeill, 1999. "Hazard-Rate Modelling of Store-Switching Behaviour," Environment and Planning A, , vol. 31(8), pages 1353-1370, August.
    4. Lee, Backjin & Timmermans, Harry J.P., 2007. "A latent class accelerated hazard model of activity episode durations," Transportation Research Part B: Methodological, Elsevier, vol. 41(4), pages 426-447, May.
    5. Jan Veldhuisen & Harry Timmermans & Loek Kapoen, 2000. "RAMBLAS: A Regional Planning Model Based on the Microsimulation of Daily Activity Travel Patterns," Environment and Planning A, , vol. 32(3), pages 427-443, March.
    6. Brigitte Waldorf, 2003. "Spatial Patterns and Processes in a Longitudinal Framework," International Regional Science Review, , vol. 26(3), pages 269-288, July.
    7. Waldorf, Brigitte, 2002. "Spatial hazard models: limitations and applications," ERSA conference papers ersa02p497, European Regional Science Association.

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