IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-13-00781.html
   My bibliography  Save this article

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

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2014/Volume34/EB-14-V34-I2-P77.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Andersen, Torben M., 2008. "Heterogenous wage formation under a common monetary policy," Economic Modelling, Elsevier, vol. 25(4), pages 740-771, July.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Reitz, Stefan & Rülke, Jan & Stadtmann, Georg, 2012. "Nonlinear Expectations in Speculative Markets," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62045, Verein für Socialpolitik / German Economic Association.
    2. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1349-1363.
    3. Deniz Erdemlioglu & Nikola Gradojevic, 2021. "Heterogeneous investment horizons, risk regimes, and realized jumps," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 617-643, January.
    4. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    5. Liu, Chunping & Minford, Patrick, 2014. "Comparing behavioural and rational expectations for the US post-war economy," Economic Modelling, Elsevier, vol. 43(C), pages 407-415.
    6. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, 2021. "Bubbles, crashes and information contagion in large-group asset market experiments," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 414-433, June.
    8. Klein, A. & Urbig, D. & Kirn, S., 2008. "Who Drives the Market? Estimating a Heterogeneous Agent-based Financial Market Model Using a Neural Network Approach," MPRA Paper 14433, University Library of Munich, Germany.
    9. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
    10. Bart Frijns & Aaron Gilbert & Alireza Tourani-Rad, 2011. "Heterogeneity and sentiment in the stock market," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 140-151.
    11. Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.
    12. Prat, Georges, 2013. "Equity risk premium and time horizon: What do the U.S. secular data say?," Economic Modelling, Elsevier, vol. 34(C), pages 76-88.
    13. Yamamoto, Ryuichi, 2019. "Dynamic Predictor Selection And Order Splitting In A Limit Order Market," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1757-1792, July.
    14. Yamamoto, Ryuichi & Hirata, Hideaki, 2013. "Strategy switching in the Japanese stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 37(10), pages 2010-2022.
    15. Mohamed el hédi Arouri & Fredj Jawadi, 2011. "Do on/off time series models reproduce emerging stock market comovements?," Economics Bulletin, AccessEcon, vol. 31(1), pages 960-968.
    16. Sarah Mignot & Fabio Tramontana & Frank Westerhoff, 2021. "Speculative asset price dynamics and wealth taxes," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 641-667, December.
    17. Huang, Jianhui & Wang, Guangchen & Wu, Zhen, 2010. "Optimal premium policy of an insurance firm: Full and partial information," Insurance: Mathematics and Economics, Elsevier, vol. 47(2), pages 208-215, October.
    18. Chabakauri, Georgy, 2010. "Asset pricing with heterogeneous investors and portfolio constraints," LSE Research Online Documents on Economics 43142, London School of Economics and Political Science, LSE Library.
    19. Schunk, Daniel, 2009. "Behavioral heterogeneity in dynamic search situations: Theory and experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1719-1738, September.
    20. Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.

    More about this item

    Keywords

    Heterogeneous preferences; subjective discount rate; risk aversion coefficient; consumption decisions; average consumer;
    All these keywords.

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-13-00781. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.