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There Are Many Models of Transitive Preference: A Tutorial Review and Current Perspective

In: Decision Modeling and Behavior in Complex and Uncertain Environments

Author

Listed:
  • Michel Regenwetter

    (University of Illinois at Urbana-Champaign)

  • Clintin P. Davis-Stober

    (University of Illinois at Urbana-Champaign)

Abstract

Transitivity of preference is a fundamental rationality axiom shared by nearly all normative, prescriptive, and descriptive models of preference or choice. There are many possible models of transitive preferences. We review a general class of such models and we summarize a recent critique of the empirical literature on (in)transitivity of preference. A key conceptual hurdle lies in the fact that transitivity is an algebraic/logical axiom, whereas experimental choice data are, by design, the outcomes of sampling processes. We discuss probabilistic specifications of transitivity that can be cast as (unions of) convex polytopes within the unit cube. Adding to the challenge, probabilistic specifications with inequality constraints (including the standard “weak stochastic transitivity” constraint on binary choice probabilities) fall victim to a “boundary problem” where the log-likelihood test statistic fails to have an asymptotic χ2-distribution. This invalidates many existing statistical analyses of empirical (in)transitive choice in the experimental literature. We summarize techniques to test models of transitive preference based on two key components: (1) we discuss probabilistic specifications in terms of convex polytopes, and (2) we provide the correct asymptotic distributions to test them. Furthermore, we demonstrate these techniques with examples on illustrative sample data.

Suggested Citation

  • Michel Regenwetter & Clintin P. Davis-Stober, 2008. "There Are Many Models of Transitive Preference: A Tutorial Review and Current Perspective," Springer Optimization and Its Applications, in: Tamar Kugler & J. Cole Smith & Terry Connolly & Young-Jun Son (ed.), Decision Modeling and Behavior in Complex and Uncertain Environments, pages 99-124, Springer.
  • Handle: RePEc:spr:spochp:978-0-387-77131-1_5
    DOI: 10.1007/978-0-387-77131-1_5
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    Cited by:

    1. Funk, Patrick & Davis, Alex & Vaishnav, Parth & Dewitt, Barry & Fuchs, Erica, 2020. "Individual inconsistency and aggregate rationality: Overcoming inconsistencies in expert judgment at the technical frontier," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    2. R. Luce, 2010. "Behavioral assumptions for a class of utility theories: A program of experiments," Journal of Risk and Uncertainty, Springer, vol. 41(1), pages 19-37, August.

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