IDEAS home Printed from https://ideas.repec.org/p/col/000122/014250.html
   My bibliography  Save this paper

A contribution of Bayesian approach to experimental economics

Author

Listed:
  • Álvaro Hurtado Rendón

Abstract

The main contribution of this work is the discussion about the widespread of the data from the economic experiments. Particularly, in regards with those that research about the discounting rate of the agents, where we suggest using the Dynamic Stochastic General Equilibrium models (DSGE) under a Bayesian approach. Besides, the inclusion of the entrepreneurs in the economic experiments in order to establish which are the long and short discounting rate is also mentioned. In this way, in order to reach what was said before, both a Neoclassic and a Neo Keynesian standard model were used to contrast the parameters robustness. Finally, it is showed that both the short and long term discounting rates after using Bayesian estimation are more consistent with the experiments carried out with entrepreneurs than those with students.

Suggested Citation

  • Álvaro Hurtado Rendón, 2016. "A contribution of Bayesian approach to experimental economics," Documentos de Trabajo de Valor Público 14250, Universidad EAFIT.
  • Handle: RePEc:col:000122:014250
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10784/7973
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Models and applications; Intertemporal Consumer Choice; Bayesian econometrics.;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:col:000122:014250. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Valor Público EAFIT - Centro de estudios e incidencia (email available below). General contact details of provider: https://edirc.repec.org/data/cieafco.html .

    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.