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A time-hierarchical microeconomic model of activities

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  • Héctor López-Ospina
  • Francisco Martínez
  • Cristián Cortés

Abstract

The microeconomic approach to explain consumers’ behavior regarding the choice of activities, consumption of goods and use of time is extended in this paper by explicitly including the temporal dimension in the choice-making process. Recognizing that some activities, such as a job and education, involve a long-term commitment and that other activities, such as leisure and shopping, are conducted and modified in the short term, we make these differences explicit in a microeconomic framework. Thus, a hierarchical temporal structure defines the time window or frequency of adjusting the variables of activities (duration, location and consumption of goods) and the magnitude of the resources (time and money) spent. We specify and analyze a stylized microeconomic model with two time scales, the macro and micro level, concluding that preference observations at the micro level, such as transport mode choice, are strongly conditioned by the prevailing choices at the macro scale. This result has strong implications for the current theory of the value and allocation of time, as well as on the location of activities, as illustrated by numerical example. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Héctor López-Ospina & Francisco Martínez & Cristián Cortés, 2015. "A time-hierarchical microeconomic model of activities," Transportation, Springer, vol. 42(2), pages 211-236, March.
    • Handle: RePEc:kap:transp:v:42:y:2015:i:2:p:211-236
    DOI: 10.1007/s11116-014-9530-9
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    References listed on IDEAS

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    1. Bhat, Chandra R., 2000. "A multi-level cross-classified model for discrete response variables," Transportation Research Part B: Methodological, Elsevier, vol. 34(7), pages 567-582, September.
    2. Sergio R. Jara-Diaz & Cristián A. Guevara, 2003. "Behind the Subjective Value of Travel Time Savings," Journal of Transport Economics and Policy, University of Bath, vol. 37(1), pages 29-46, January.
    3. Evans, Alan W, 1972. "On the Theory of the Valuation and Allocation of Time," Scottish Journal of Political Economy, Scottish Economic Society, vol. 19(1), pages 1-17, February.
    4. Sergio Jara-Díaz & Marcela Munizaga & Javiera Olguín, 2013. "The role of gender, age and location in the values of work behind time use patterns in Santiago, Chile," Papers in Regional Science, Wiley Blackwell, vol. 92(1), pages 87-102, March.
    5. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    6. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    7. Bullard, James & Feigenbaum, James, 2007. "A leisurely reading of the life-cycle consumption data," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2305-2320, November.
    8. Winston, Gordon C., 1987. "Activity choice : A new approach to economic behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 8(4), pages 567-585, December.
    9. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    10. Juster, F. Thomas, 1990. "Rethinking utility theory," Journal of Behavioral Economics, Elsevier, vol. 19(2), pages 155-179.
    11. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    12. Guang-Zhen Sun & Yew-Kwang Ng, 2009. "The age-dependent value of time: a life cycle analysis," Journal of Economics, Springer, vol. 97(3), pages 233-250, July.
    13. Jara-Díaz, Sergio R. & Munizaga, Marcela A. & Greeven, Paulina & Guerra, Reinaldo & Axhausen, Kay, 2008. "Estimating the value of leisure from a time allocation model," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 946-957, December.
    14. Castro, Marisol & Bhat, Chandra R. & Pendyala, Ram M. & Jara-Díaz, Sergio R., 2012. "Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 729-743.
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