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Average consumer decisions in an economy with heterogeneous subjective discount rates and risk aversion coefficients: the finite horizon case

Author

Listed:
  • Alfredo Omar Palafox-Roca

    (Instituto Politécnico Nacional, Escuela Superior de Economía)

  • Francisco Venegas-martínez

    (Instituto Politécnico Nacional, Escuela Superior de Economía)

Abstract

This paper aims to study the behavior of the average rational consumer of an economy populated by heterogeneous agents in a finite horizon framework. Heterogeneity takes into account both the subjective discount rate and risk aversion coefficient. Closed-form solutions for the optimal paths of consumption and capital, of the average consumer, are derived. Moreover, a closed form solution for the economic welfare of the average consumer is obtained.

Suggested Citation

  • Alfredo Omar Palafox-Roca & Francisco Venegas-martínez, 2014. "Average consumer decisions in an economy with heterogeneous subjective discount rates and risk aversion coefficients: the finite horizon case," Economics Bulletin, AccessEcon, vol. 34(2), pages 842-849.
    • Handle: RePEc:ebl:ecbull:eb-13-00781
    as

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    References listed on IDEAS

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    1. Andersen, Torben M., 2008. "Heterogenous wage formation under a common monetary policy," Economic Modelling, Elsevier, vol. 25(4), pages 740-771, July.
    2. Chen, Been-Lon & Peng, Shin-Kun & Wang, Ping, 2009. "Intergenerational human capital evolution, local public good preferences, and stratification," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 745-757, March.
    3. Boswijk, H. Peter & Hommes, Cars H. & Manzan, Sebastiano, 2007. "Behavioral heterogeneity in stock prices," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1938-1970, June.
    4. Fethke, Gary & Jagannathan, Raj, 1996. "Habit persistence, heterogeneous tastes, and imperfect competition," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1193-1207.
    5. Costas Xiouros & Fernando Zapatero, 2010. "The Representative Agent of an Economy with External Habit Formation and Heterogeneous Risk Aversion," The Review of Financial Studies, Society for Financial Studies, vol. 23(8), pages 3017-3047, August.
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    Cited by:

    1. Yazmín V. Soriano-Morales & Francisco Venegas-Martínez & Benjamín Vallejo-Jiménez, 2015. "Determination of the equilibrium expansion rate of money when money supply is driven by a time-homogeneous Markov modulated jump diffusion process," Economics Bulletin, AccessEcon, vol. 35(4), pages 2074-2084.
    2. Alfredo Omar Palafox-Roca, 2023. "Consumo óptimo en el retiro con diferentes leyes de mortalidad," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(3), pages 1-30, Julio - S.

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    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

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