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Dynamic Choice, Multistate Duration Models and Stochastic Structure

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Abstract

An important problem in the analysis of intertemporal choice processes is how to justify the choice of mathematical structure of the transition probabilities. A related and delicate identification problem is to separate the effect of unobserved variables from the influence on preferences from past choice behavior (state dependence). The present paper proposes a particular behavioral assumption to characterize the stochastic structure of intertemporal discrete choice models under the absence of state dependence. This assumption extends Luce axiom; "Independence from Irrelevant Alternatives", to the intertemporal context. Under specific regularity conditions the implication of these assumptions is that the individual choice process is a Markov chain with a particularly simple structure of the transition probabilities. By drawing on results obtained by Dagsvik (1983, 1988) it is demonstrated that this structure is consistent with an intertemporal and life cycle consistent random utility model where the utilities are independent extremal processes in time. Finally, the framework is extended to allow for state dependence and time varying choice sets.

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  • John K. Dagsvik, 1996. "Dynamic Choice, Multistate Duration Models and Stochastic Structure," Discussion Papers 172, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:172
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    1. P O Lindberg & E A Eriksson & L-G Mattsson, 1995. "Invariance of Achieved Utility in Random Utility Models," Environment and Planning A, , vol. 27(1), pages 121-142, January.
    2. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457, Elsevier.
    3. Olsen, Randall J & Smith, D Alton & Farkas, George, 1986. "Structural and Reduced-Form Models of Choice among Alternatives in Continuous Time: Youth Employment under a Guaranteed Jobs Program," Econometrica, Econometric Society, vol. 54(2), pages 375-394, March.
    4. Dagsvik, J.K., 1995. "The Structure of Intertemporal Models for Myopic Discrete Choice with Random Preferences," Memorandum 1995_011, Oslo University, Department of Economics.
    5. Dagsvik, John K., 1988. "Markov chains generated by maximizing components of multidimensional extremal processes," Stochastic Processes and their Applications, Elsevier, vol. 28(1), pages 31-45, April.
    6. Heckman, James J, 1991. "Identifying the Hand of the Past: Distinguishing State Dependence from Heterogeneity," American Economic Review, American Economic Association, vol. 81(2), pages 75-79, May.
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    Cited by:

    1. Sverre Grepperud, 1997. "Soil Depletion Choices under Production and Price Uncertainty," Discussion Papers 186, Statistics Norway, Research Department.

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    More about this item

    Keywords

    Life cycle consistent discrete choice; taste persistence; state dependence; Markovian choice processes; extremal processes; random utility processes; independence from irrelevant alternatives.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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