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The effect of motivations on social indirect reciprocity: an experimental analysis

Author

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  • Luca Stanca
  • Luigino Bruni
  • Marco Mantovani

Abstract

This article investigates the effect of motivations on the perceived kindness of an action within the context of social indirect reciprocity (if A helps B, then C helps A). We test experimentally the hypothesis that, for a given distributional outcome, an action is perceived by a third party to be less kind if it can be strategically motivated. As a consequence, intention-based reciprocity should be stronger in the absence of strategic motivations. The results do not support this hypothesis: social indirect reciprocity is found to be less strong when strategic motivations can be ruled out.

Suggested Citation

  • Luca Stanca & Luigino Bruni & Marco Mantovani, 2011. "The effect of motivations on social indirect reciprocity: an experimental analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(17), pages 1709-1711.
    • Handle: RePEc:taf:apeclt:v:18:y:2011:i:17:p:1709-1711
    DOI: 10.1080/13504851.2011.560105
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    Cited by:

    1. Donald Amoroso & Ricardo Lim & Francisco L. Roman, 2021. "The Effect of Reciprocity on Mobile Wallet Intention: A Study of Filipino Consumers," International Journal of Asian Business and Information Management (IJABIM), IGI Global Scientific Publishing, vol. 12(2), pages 57-83, April.
    2. Giovanni Di Bartolomeo & Stefano Papa, 2011. "Trust, reciprocity and altruism: An impossible addition," CIMEO Working Paper Series 82, Centre for Investigation and Modelling of Experimental Observations (CIMEO).
    3. Giovanni Di Bartolomeo & Stefano Papa, 2013. "Measuring trust, reciprocity and altruism by counterfactuals," CIMEO Working Paper Series 99, Centre for Investigation and Modelling of Experimental Observations (CIMEO).
    4. Giovanni Bartolomeo & Stefano Papa, 2016. "Trust and reciprocity: extensions and robustness of triadic design," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 100-115, March.
    5. Giovanni Di Bartolomeo & Stefano Papa, 2012. "The triadic design to identify trust and reciprocity: Extensions and robustness," CIMEO Working Paper Series 96, Centre for Investigation and Modelling of Experimental Observations (CIMEO).
    6. Giovanni Di Bartolomeo & Stefano Papa, 2011. "Dare per avere e dare per dare: due universi paralleli," CIMEO Working Paper Series 80, Centre for Investigation and Modelling of Experimental Observations (CIMEO).
    7. Luca Stanca, 2011. "Social science and neuroscience: how can they inform each other?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 58(3), pages 243-256, September.

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    Keywords

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    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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