IDEAS home Printed from https://ideas.repec.org/a/prs/reveco/reco_0035-2764_1995_num_46_3_409709.html
   My bibliography  Save this article

Méthodes expérimentales d'évaluation des théories du risque

Author

Listed:
  • Bertrand Munier

Abstract

[fre] La remise en cause des axiomes de von Neumann et Morgenstern justifie-t-elle que soient proposées de nouvelles théories du risque ? Une partie de la réponse dépend de la capacité des modèles nouveaux à décrire les comportements des individus comparativement à l'utilité espérée. Pour évaluer cette capa­cité, on distingue, dans cet article, trois méthodes expérimentales très différentes, que l'on analyse de façon critique.. On est conduit à substituer une vision locale de la rationalité dans le risque à la considération de performances globales des divers modèles de cette rationalité. On généralise ainsi le « paradoxe d'Allais », souvent interprété de façon incor­recte comme un « effet de conséquence commune ». [eng] Experimental methods, economics and game theory : "nunc est bibendum ". This paper aims at answering a question about the development of experimental economics : Quis, quid, ubi, quibus auxiliis, cur, quomodo, quando ?. It offers a brief historical account of the emergence of an experimental tradition in economics and our own tentative explanation of this interesting episode in the history and sociology of science. It argues cogently for the effectiveness of laboratory experiments in game-theoretic situations.

Suggested Citation

  • Bertrand Munier, 1995. "Méthodes expérimentales d'évaluation des théories du risque," Revue Économique, Programme National Persée, vol. 46(3), pages 939-949.
  • Handle: RePEc:prs:reveco:reco_0035-2764_1995_num_46_3_409709
    DOI: 10.3406/reco.1995.409709
    Note: DOI:10.3406/reco.1995.409709
    as

    Download full text from publisher

    File URL: https://doi.org/10.3406/reco.1995.409709
    Download Restriction: Data and metadata provided by Persée are licensed under a Creative Commons "Attribution-Noncommercial-Share Alike 3.0" License http://creativecommons.org/licenses/by-nc-sa/3.0/

    File URL: https://www.persee.fr/doc/reco_0035-2764_1995_num_46_3_409709
    Download Restriction: Data and metadata provided by Persée are licensed under a Creative Commons "Attribution-Noncommercial-Share Alike 3.0" License http://creativecommons.org/licenses/by-nc-sa/3.0/

    File URL: https://libkey.io/10.3406/reco.1995.409709?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    2. Harless, David W & Camerer, Colin F, 1994. "The Predictive Utility of Generalized Expected Utility Theories," Econometrica, Econometric Society, vol. 62(6), pages 1251-1289, November.
    3. Enrica Carbone & John D. Hey, 2018. "Discriminating between Preference Functionals: A Preliminary Monte Carlo Study," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 4, pages 99-118, World Scientific Publishing Co. Pte. Ltd..
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Camerer, Colin F, 1989. "An Experimental Test of Several Generalized Utility Theories," Journal of Risk and Uncertainty, Springer, vol. 2(1), pages 61-104, April.
    7. Battalio, Raymond C & Kagel, John H & Jiranyakul, Komain, 1990. "Testing between Alternative Models of Choice under Uncertainty: Some Initial Results," Journal of Risk and Uncertainty, Springer, vol. 3(1), pages 25-50, March.
    Full references (including those not matched with items on IDEAS)

    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. Louis Lévy-Garboua, 1999. "Expected Utility and Cognitive Consistency," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03674666, HAL.
    2. Peter Brooks & Simon Peters & Horst Zank, 2014. "Risk behavior for gain, loss, and mixed prospects," Theory and Decision, Springer, vol. 77(2), pages 153-182, August.
    3. Pavlo R. Blavatskyy, "undated". "A Stochastic Expected Utility Theory," IEW - Working Papers 231, Institute for Empirical Research in Economics - University of Zurich.
    4. Simone Ferrari-Toniolo & Leo Chi U. Seak & Wolfram Schultz, 2022. "Risky choice: Probability weighting explains independence axiom violations in monkeys," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 319-351, December.
    5. Pavlo Blavatskyy, 2007. "Stochastic expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 34(3), pages 259-286, June.
    6. Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
    7. Peter Brooks & Horst Zank, 2005. "Loss Averse Behavior," Journal of Risk and Uncertainty, Springer, vol. 31(3), pages 301-325, December.
    8. Simone Cerreia‐Vioglio & David Dillenberger & Pietro Ortoleva, 2015. "Cautious Expected Utility and the Certainty Effect," Econometrica, Econometric Society, vol. 83, pages 693-728, March.
    9. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    10. Amit Kothiyal & Vitalie Spinu & Peter Wakker, 2014. "An experimental test of prospect theory for predicting choice under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 48(1), pages 1-17, February.
    11. Seidl, C. & Traub, S., 1996. "Rational Choice and the Relevance of Irrelevant Alternatives," Other publications TiSEM 26452450-9ecd-45b4-bc45-b, Tilburg University, School of Economics and Management.
    12. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    13. Kontek, Krzysztof, 2015. "Fanning-Out or Fanning-In? Continuous or Discontinuous? Estimating Indifference Curves Inside the Marschak-Machina Triangle using Certainty Equivalents," MPRA Paper 63965, University Library of Munich, Germany.
    14. Egil Matsen & Bjarne Strøm, 2006. "Joker: Choice in a simple game with large stakes," Working Paper Series 8307, Department of Economics, Norwegian University of Science and Technology.
    15. John Hey & Enrica Carbone, "undated". "Which Error Theory is Best?," Discussion Papers 99/31, Department of Economics, University of York.
    16. Michael Birnbaum & Ulrich Schmidt, 2008. "An experimental investigation of violations of transitivity in choice under uncertainty," Journal of Risk and Uncertainty, Springer, vol. 37(1), pages 77-91, August.
    17. John Hey, "undated". "Experiments and the Economics of Individual Decision Making Under Risk and Uncertainty," Discussion Papers 95/49, Department of Economics, University of York.
    18. Adrian Bruhin & Maha Manai & Luís Santos-Pinto, 2022. "Risk and rationality: The relative importance of probability weighting and choice set dependence," Journal of Risk and Uncertainty, Springer, vol. 65(2), pages 139-184, October.
    19. Helga Fehr-Duda & Thomas Epper, 2012. "Probability and Risk: Foundations and Economic Implications of Probability-Dependent Risk Preferences," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 567-593, July.
    20. Birnbaum, Michael H. & Schmidt, Ulrich, 2010. "Allais paradoxes can be reversed by presenting choices in canonical split form," Kiel Working Papers 1615, Kiel Institute for the World Economy (IfW Kiel).

    More about this item

    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:prs:reveco:reco_0035-2764_1995_num_46_3_409709. 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: Equipe PERSEE (email available below). General contact details of provider: https://www.persee.fr/collection/reco .

    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.