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L'économétrie des données expérimentales : défis et opportunités

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  • Claude Montmarquette

Abstract

[fre] L’économie expérimentale aide à la collecte de données empiriques pertinentes et fiables et permet d’évaluer l’importance de chaque motivation particulière dans la prise de décision des agents. L’expérimentation en laboratoire rend possible la comparaison entre les environnements et les institutions sans avoir à subir les coûts sociaux et privés associés à leur mise en place. L’objectif visé dans ce texte est de répondre aux interrogations suivantes relativement à l’économétrie des données expérimentales : Où en sommes-nous et quels sont les défis à relever pour mieux exploiter les données expérimentales ? Nous concluons que l’économie expérimentale est appelée à jouer un rôle fondamental dans la progression de la science économique et de l’économétrie. Le fait que l’économie expérimentale produise des données est un avantage considérable pour l’économiste soucieux de transmettre ses connaissances dans tous les milieux. Dans la pratique, les responsables sont toujours plus réceptifs aux faits qu'aux discours théoriques. [eng] Experimental economics produce rich and valid data sets that enable the researchers to evaluate and understand the behaviour of individuals in many decisional contexts. Experiments conduct in a laboratory setting permit to compare different environments and institutions without suffering from the private and the social costs if you implement them in the real life. The goal of this paper is to answer the following questions relatively to the econometrics of experimental data : What is the current state of the arts and which challenges are facing us to better benefit from the experimental data ? We conclude that the experimental approach in economics will continue to play a major role in the progression of the economic science and of the econometric methodology. The experimental approach producing empirical data is a huge asset for all the economists interested to transfer their knowledge to all sectors of the society. In general, the economic and political leaders are always better convinced by facts and data than by theory.

Suggested Citation

  • Claude Montmarquette, 2008. "L'économétrie des données expérimentales : défis et opportunités," Économie et Prévision, Programme National Persée, vol. 182(1), pages 7-17.
  • Handle: RePEc:prs:ecoprv:ecop_0249-4744_2008_num_182_1_7748
    DOI: 10.3406/ecop.2008.7748
    Note: DOI:10.3406/ecop.2008.7748
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    References listed on IDEAS

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    1. Claude Montmarquette & François Gardes, 2002. "How Large is Your Reference Group," CIRANO Working Papers 2002s-87, CIRANO.
    2. Goeree, Jacob K. & Holt, Charles A. & Palfrey, Thomas R., 2002. "Quantal Response Equilibrium and Overbidding in Private-Value Auctions," Journal of Economic Theory, Elsevier, vol. 104(1), pages 247-272, May.
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    4. J. Doyne Farmer & Paolo Patelli & Ilija I. Zovko, 2003. "The Predictive Power of Zero Intelligence in Financial Markets," Papers cond-mat/0309233, arXiv.org, revised Feb 2004.
    5. Chong, Juin-Kuan & Camerer, Colin F. & Ho, Teck H., 2006. "A learning-based model of repeated games with incomplete information," Games and Economic Behavior, Elsevier, vol. 55(2), pages 340-371, May.
    6. Jim Engle-Warnick & Nurlan Turdaliev, 2005. "An Experimental Test Of Taylor-Type Rules With Inexperienced Central Bankers," Macroeconomics 0511022, University Library of Munich, Germany.
    7. Nicholas Bardsley & Peter Moffatt, 2007. "The Experimetrics of Public Goods: Inferring Motivations from Contributions," Theory and Decision, Springer, vol. 62(2), pages 161-193, March.
    8. Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, May.
    9. John A. List, 2004. "Testing Neoclassical Competitive Theory in Multilateral Decentralized Markets," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 1131-1156, October.
    10. repec:feb:framed:0081 is not listed on IDEAS
    11. Keser, Claudia & Montmarquette, Claude, 2008. "Voluntary contributions to reduce expected public losses," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 477-491, June.
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    1. Yannick Gabuthy & Nicolas Jacquemet, 2013. "Analyse économique du droit et méthode expérimentale," PSE-Ecole d'économie de Paris (Postprint) halshs-00746617, HAL.
    2. Taghouti, Ibtissem & Guesmi, Bouali & Salem, Hichem Ben & Laabidi, Sourour & Youssef, Salah Ben, 2021. "Perspectives of Adopting Technological Innovation in Livestock-Based Production System," 2021 Conference, August 17-31, 2021, Virtual 315285, International Association of Agricultural Economists.

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