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Gift Ratios in Laboratory Experiments

Author

Listed:
  • Tagiew, Rustam
  • Ignatov, Dmitry

Abstract

This paper presents statistics of a controlled laboratory gift-exchange-game experiment. These numbers can be used for assumptions about human behavior in analysis of noisy web data. The experiment was described in ‘The Impact of Social Comparisons on Reciprocity’ by Gächter et al. 2012. As already shown in relevant literature from experimental economics, human decisions deviate from rational payoff maximization. The average gift rate was 31%. Gift rate was under no conditions zero. Further, we derive some additional findings and calculate their significance.

Suggested Citation

  • Tagiew, Rustam & Ignatov, Dmitry, 2016. "Gift Ratios in Laboratory Experiments," MPRA Paper 77603, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:77603
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    File URL: https://mpra.ub.uni-muenchen.de/77603/1/paper7.pdf
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    References listed on IDEAS

    as
    1. George A. Akerlof & Janet L. Yellen, 1990. "The Fair Wage-Effort Hypothesis and Unemployment," The Quarterly Journal of Economics, Oxford University Press, vol. 105(2), pages 255-283.
    2. Ariely, Dan & Kamenica, Emir & Prelec, Drazen, 2008. "Man's search for meaning: The case of Legos," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 671-677, September.
    3. McKelvey Richard D. & Palfrey Thomas R., 1995. "Quantal Response Equilibria for Normal Form Games," Games and Economic Behavior, Elsevier, vol. 10(1), pages 6-38, July.
    4. Simon Gächter & Daniele Nosenzo & Martin Sefton, 2012. "The Impact of Social Comparisons on Reciprocity," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(4), pages 1346-1367, December.
    5. Martin J. Osborne & Ariel Rubinstein, 1994. "A Course in Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262650401, December.
    6. Rabin, Matthew, 1993. "Incorporating Fairness into Game Theory and Economics," American Economic Review, American Economic Association, vol. 83(5), pages 1281-1302, December.
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    More about this item

    Keywords

    experimental economics; machine learning;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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