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

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  • Pavlo Blavatsky
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    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%.

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    File URL: http://iweb.cerge-ei.cz/pdf/wp/Wp218.pdf
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    Bibliographic Info

    Paper provided by The Center for Economic Research and Graduate Education - Economic Institute, Prague in its series CERGE-EI Working Papers with number wp218.

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    Date of creation: Oct 2003
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    Handle: RePEc:cer:papers:wp218

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    Keywords: Heuristic of relative probability comparisons; Feedback-based decisions;

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    1. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-24, December.
    2. Thaler, Richard H, et al, 1997. "The Effect of Myopia and Loss Aversion on Risk Taking: An Experimental Test," The Quarterly Journal of Economics, MIT Press, vol. 112(2), pages 647-61, May.
    3. Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
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    Cited by:
    1. Gerlinde Fellner & Matthias Sutter, 2005. "Causes, consequences, and cures of myopic loss aversion - An experimental investigation," Papers on Strategic Interaction 2005-15, Max Planck Institute of Economics, Strategic Interaction Group.
    2. 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).
    3. 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.
    4. Bruno S. Frey, 2005. "Knight Fever: Towards an Economics of Awards," CREMA Working Paper Series 2005-12, Center for Research in Economics, Management and the Arts (CREMA).
    5. Wasilios Hariskos & Johannes Leder & Kinneret Teodorescu, 2011. "Market Entry Prediction Competition 2010," Games, MDPI, Open Access Journal, vol. 2(2), pages 200-208, April.
    6. Simon Weidenholzer, 2010. "Coordination Games and Local Interactions: A Survey of the Game Theoretic Literature," Games, MDPI, Open Access Journal, vol. 1(4), pages 551-585, November.
    7. 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.
    8. Tal Neiman & Yonatan Loewenstein, 2011. "Reinforcement learning in professional basketball players," Discussion Paper Series dp593, The Center for the Study of Rationality, Hebrew University, Jerusalem.
    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, Open Access Journal, vol. 2(1), pages 136-162, March.
    10. Pavlo R. Blavatskyy, . "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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