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Note on "Small Feedback-based Decisions and Their Limited Correspondence to Description-based Decisions"

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  • Pavlo Blavatsky

Abstract

Barron and Erev (2003) report experimental results revealing differences in risk attitude in small feedback-based problems as opposed to conventional description-based problems. This note shows that theoretical predictions drawing on a simple decision rule, known as the heuristic of relative probability comparisons (HRPC), fit the experimental data in Barron and Erev (2003) surprisingly well: even in the choice situation where the HRPC predicts an exact indifference the actual distribution of subject responses was 49% to 51%.

Suggested Citation

  • Pavlo Blavatsky, 2003. "Note on "Small Feedback-based Decisions and Their Limited Correspondence to Description-based Decisions"," CERGE-EI Working Papers wp218, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  • Handle: RePEc:cer:papers:wp218
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    File URL: http://www.cerge-ei.cz/pdf/wp/Wp218.pdf
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    References listed on IDEAS

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    1. Richard H. Thaler & Amos Tversky & Daniel Kahneman & Alan Schwartz, 1997. "The Effect of Myopia and Loss Aversion on Risk Taking: An Experimental Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 647-661.
    2. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    3. 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..
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    Citations

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    Cited by:

    1. Gerlinde Fellner & Matthias Sutter, 2009. "Causes, Consequences, and Cures of Myopic Loss Aversion – An Experimental Investigation," Economic Journal, Royal Economic Society, vol. 119(537), pages 900-916, April.
    2. Tal Neiman & Yonatan Loewenstein, 2011. "Reinforcement learning in professional basketball players," Discussion Paper Series dp593, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    3. David Perez-Castrillo & Robert F. Veszteg, 2005. "Experimental Evidence on the Multibidding Mechanism," UFAE and IAE Working Papers 638.05, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    4. Bruno S. Frey, "undated". "Knight Fever towards an Economics of Awards," IEW - Working Papers 239, Institute for Empirical Research in Economics - University of Zurich.
    5. Simon Weidenholzer, 2010. "Coordination Games and Local Interactions: A Survey of the Game Theoretic Literature," Games, MDPI, vol. 1(4), pages 1-35, November.
    6. Enrique Fatás & Francisca Jiménez & Antonio Morales, 2011. "Controlling for initial endowment and experience in binary choice tasks," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 227-243, December.
    7. Wasilios Hariskos & Johannes Leder & Kinneret Teodorescu, 2011. "Market Entry Prediction Competition 2010," Games, MDPI, vol. 2(2), pages 1-9, April.
    8. Wieland Mueller & Eline van der Heijden & Tobias J. Klein & Jan Potters, 2011. "Nudges and Impatience: Evidence from a Large Scale Experiment," Vienna Economics Papers 1110, University of Vienna, Department of Economics.
    9. Cleotilde Gonzalez & Varun Dutt & Tomás Lejarraga, 2011. "A Loser Can Be a Winner: Comparison of Two Instance-based Learning Models in a Market Entry Competition," Games, MDPI, vol. 2(1), pages 1-27, March.
    10. Pavlo R. Blavatskyy, "undated". "Axiomatization of a Preference for Most Probable Winner," IEW - Working Papers 230, Institute for Empirical Research in Economics - University of Zurich.

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    More about this item

    Keywords

    Heuristic of relative probability comparisons; Feedback-based decisions;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory

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