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Cost of action, perceived intention, positive reciprocity, and signalling model

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  • Bhirombhakdi, Kornpob
  • Potipiti, Tanapong

Abstract

This economic experiment tests the positive relationship between perceived intention and positive reciprocity by altering material-payoff structures in treatments, or material-payoff approach. To design the treatments, this study applies a signalling model to explain how the intention of an action is signalled and perceived. As a result from the model, cost of an action positively relates to the perceived intention. The results from seventy-nine subjects who participated in this four-session hand-run experiment that was double-blindly organized between August - September 2011 support the relationship. Moreover, this study hypothesizes on consistent decisions across treatments with different levels of perceived intention, and the results support the hypotheses. The insight into sacrificing and rewarding is the significant implication in this study.

Suggested Citation

  • Bhirombhakdi, Kornpob & Potipiti, Tanapong, 2012. "Cost of action, perceived intention, positive reciprocity, and signalling model," MPRA Paper 37469, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:37469
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    File URL: https://mpra.ub.uni-muenchen.de/40246/1/MPRA_paper_40246.pdf
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    References listed on IDEAS

    as
    1. Gary Charness & Matthew Rabin, 2002. "Understanding Social Preferences with Simple Tests," The Quarterly Journal of Economics, Oxford University Press, vol. 117(3), pages 817-869.
    2. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, Oxford University Press, vol. 114(3), pages 817-868.
    3. Falk, Armin & Fehr, Ernst & Fischbacher, Urs, 2008. "Testing theories of fairness--Intentions matter," Games and Economic Behavior, Elsevier, vol. 62(1), pages 287-303, January.
    4. Falk, Armin & Fischbacher, Urs, 2006. "A theory of reciprocity," Games and Economic Behavior, Elsevier, vol. 54(2), pages 293-315, February.
    5. McCabe, Kevin A. & Rigdon, Mary L. & Smith, Vernon L., 2003. "Positive reciprocity and intentions in trust games," Journal of Economic Behavior & Organization, Elsevier, vol. 52(2), pages 267-275, October.
    6. Dufwenberg, Martin & Kirchsteiger, Georg, 2004. "A theory of sequential reciprocity," Games and Economic Behavior, Elsevier, vol. 47(2), pages 268-298, May.
    7. Bhirombhakdi, Kornpob, 2011. "Performance of a reciprocity model in predicting a positive reciprocity decision," MPRA Paper 37468, University Library of Munich, Germany.
    8. Stanca, Luca & Bruni, Luigino & Corazzini, Luca, 2009. "Testing theories of reciprocity: Do motivations matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 233-245, August.
    9. James C. Cox & Cary A. Deck, 2005. "On the Nature of Reciprocal Motives," Economic Inquiry, Western Economic Association International, vol. 43(3), pages 623-635, July.
    10. Gary Bolton & Axel Ockenfels, 2005. "A stress test of fairness measures in models of social utility," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 25(4), pages 957-982, June.
    11. Armin Falk & Ernst Fehr & Urs Fischbacher, 2003. "On the Nature of Fair Behavior," Economic Inquiry, Western Economic Association International, vol. 41(1), pages 20-26, January.
    12. Axel Ockenfels & Gary E. Bolton, 2000. "ERC: A Theory of Equity, Reciprocity, and Competition," American Economic Review, American Economic Association, vol. 90(1), pages 166-193, March.
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    Cited by:

    1. Bhirombhakdi, Kornpob, 2011. "Performance of a reciprocity model in predicting a positive reciprocity decision," MPRA Paper 37468, University Library of Munich, Germany.

    More about this item

    Keywords

    Behavioral economics; reciprocity; asymmetric information;

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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