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A Choice Model with Systematic Structures in Decision Weights

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  • Hu, Wuyang

Abstract

This article introduces a discrete choice model which incorporates a nonlinear structural adjustment to the standard utility coefficients or decision weights. The proposed model is theoretically and empirically appealing when compared to several alternative approaches, and it can be estimated by conventional maximum likelihood. Application of the proposed model in a case study shows that it outperforms two competing approaches in model fit. Given its simplicity, this model is also capable of revealing consumers' heterogeneous choices. It is shown that based on consumers' different characteristics, their product choice and its welfare implications are also potentially different.

Suggested Citation

  • Hu, Wuyang, 2007. "A Choice Model with Systematic Structures in Decision Weights," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(3), pages 1-14, December.
    • Handle: RePEc:ags:jlaare:7076
    DOI: 10.22004/ag.econ.7076
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    References listed on IDEAS

    as
    1. Wuyang Hu, 2005. "Logit models: smallest versus largest extreme value error distributions," Applied Economics Letters, Taylor & Francis Journals, vol. 12(12), pages 741-744.
    2. Wuyang Hu & Michele Veeman & Wiktor Adamowicz & Ge Gao, 2006. "Consumers' Food Choices with Voluntary Access to Genetic Modification Information," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 585-604, December.
    3. Wuyang Hu, 2004. "Trading off health, environmental and genetic modification attributes in food," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(3), pages 389-408, September.
    4. Timothy J. Gilbride & Greg M. Allenby, 2004. "A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules," Marketing Science, INFORMS, vol. 23(3), pages 391-406, October.
    5. Nitin Mehta & Surendra Rajiv & Kannan Srinivasan, 2003. "Price Uncertainty and Consumer Search: A Structural Model of Consideration Set Formation," Marketing Science, INFORMS, vol. 22(1), pages 58-84, June.
    6. Bhat, Chandra R., 1995. "A heteroscedastic extreme value model of intercity travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 29(6), pages 471-483, December.
    7. Lusk, Jayson L. & Jamal, Mustafa & Kurlander, Lauren & Roucan, Maud & Taulman, Lesley, 2005. "A Meta-Analysis of Genetically Modified Food Valuation Studies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(1), pages 1-17, April.
    8. DeShazo, J. R. & Fermo, German, 2002. "Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 123-143, July.
    9. Wuyang Hu & Wiktor L. Adamowicz & Michele M. Veeman, 2006. "Labeling Context and Reference Point Effects in Models of Food Attribute Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1034-1049.
    10. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    11. Edward Morey & Jennifer Thacher & William Breffle, 2006. "Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, May.
    12. Geraldine Fennell & Greg Allenby & Sha Yang & Yancy Edwards, 2003. "The Effectiveness of Demographic and Psychographic Variables for Explaining Brand and Product Category Use," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 223-244, June.
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    Cited by:

    1. Linhai Wu & Pingping Liu & Xiujuan Chen & Wuyang Hu & Xuesen Fan, 2021. "Contents of product attributes and the decoy effect: A study on traceable pork from the perspective of consumer utility," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 974-984, June.
    2. Wuyang Hu, 2008. "Modeling discrete choices with augmented perception hurdles," Agricultural Economics, International Association of Agricultural Economists, vol. 39(2), pages 257-267, September.

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