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Interactive and Moral Reasoning: A Comparative Study of Response Times

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  • Pablo Branas-Garza
  • Debrah Meloso
  • Luis Miller

Abstract

We use response time (RT) and behavioral data from two different but related games to test the hypothesis that individuals use introspection when confronted with a new strategic situation. Our results confirm that the need to reflect about the possible behavior of the other player (interactive thought) has an important role in the mental processes present in strategic interactions. We also find that players with longer response times have distributions of behavior that are more dispersed than for faster players. This suggests that the longest RTs across games correspond to thought dedicated to the resolution of moral dilemmas and not to guessing the likely behavior of other players in order to maximize own payoff.

Suggested Citation

  • Pablo Branas-Garza & Debrah Meloso & Luis Miller, 2012. "Interactive and Moral Reasoning: A Comparative Study of Response Times," Working Papers 440, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    • Handle: RePEc:igi:igierp:440
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    Cited by:

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    2. Hubert Janos Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2019. "Does response time predict withdrawal decisions? Lessons from a bank-run experiment," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 12(3), pages 200-222, November.
    3. Brice Corgnet & Antonio M. Espin & Roberto Hernán-González, 2015. "The cognitive basis of social behavior : cognitive reflection overrides antisocial but not always prosocial motives," Post-Print hal-02311954, HAL.
    4. Pablo Brañas-Garza, 2008. "Expected Behavior in the Dictator Game," ThE Papers 08/12, Department of Economic Theory and Economic History of the University of Granada..
    5. Ubeda, Paloma, 2014. "The consistency of fairness rules: An experimental study," Journal of Economic Psychology, Elsevier, vol. 41(C), pages 88-100.
    6. Piovesan, Marco & Wengström, Erik, 2009. "Fast or fair? A study of response times," Economics Letters, Elsevier, vol. 105(2), pages 193-196, November.
    7. Astrid Matthey & Tobias Regner, 2011. "Do I Really Want to Know? A Cognitive Dissonance-Based Explanation of Other-Regarding Behavior," Games, MDPI, vol. 2(1), pages 1-22, February.
    8. Krawczyk, Michał & Sylwestrzak, Marta, 2018. "Exploring the role of deliberation time in non-selfish behavior: The double response method," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 121-134.
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    10. Sean Duffy & Tyson Hartwig & John Smith, 2014. "Costly and discrete communication: an experimental investigation," Theory and Decision, Springer, vol. 76(3), pages 395-417, March.
    11. Nguyen, Cuong Viet, 2022. "Money vs Score: Evidences of payoff stakes in the dictator and ultimatum games," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    12. Recalde, María P. & Riedl, Arno & Vesterlund, Lise, 2018. "Error-prone inference from response time: The case of intuitive generosity in public-good games," Journal of Public Economics, Elsevier, vol. 160(C), pages 132-147.
    13. Ariel Rubenstein, 2013. "Response time and decision making: An experimental study," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(5), pages 540-551, September.
    14. Alexander W. Cappelen & Ulrik H. Nielsen & Bertil Tungodden & Jean-Robert Tyran & Erik Wengström, 2016. "Fairness is intuitive," Experimental Economics, Springer;Economic Science Association, vol. 19(4), pages 727-740, December.
    15. Shu-Heng Chen & Ye-Rong Du & Lee-Xieng Yang, 2014. "Cognitive capacity and cognitive hierarchy: a study based on beauty contest experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 69-105, April.
    16. Chen, Chia-Ching & Chiu, I-Ming & Smith, John & Yamada, Tetsuji, 2013. "Too smart to be selfish? Measures of cognitive ability, social preferences, and consistency," Journal of Economic Behavior & Organization, Elsevier, vol. 90(C), pages 112-122.
    17. Anders Poulsen & Axel Sonntag, 2019. "Focality is Intuitive - Experimental Evidence on the Effects of Time Pressure in Coordination Games," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 19-01, School of Economics, University of East Anglia, Norwich, UK..
    18. Rubinstein, Ariel, 2012. "Response Time and Decision Making: A “Free” Experimental Study," Foerder Institute for Economic Research Working Papers 275782, Tel-Aviv University > Foerder Institute for Economic Research.
    19. Duffy, Sean & Smith, John, 2014. "Cognitive load in the multi-player prisoner's dilemma game: Are there brains in games?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 51(C), pages 47-56.
    20. Hannes Lang & Gregory DeAngelo & Michelle Bongard, 2018. "Theory of Mind and General Intelligence in Dictator and Ultimatum Games," Games, MDPI, vol. 9(2), pages 1-22, March.
    21. Lotito, Gianna & Migheli, Matteo & Ortona, Guido, 2019. "Some Experimental Evidence on Type Stability and Response Times," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201919, University of Turin.
    22. Herzenstein, Michal & Dholakia, Utpal M. & Sonenshein, Scott, 2020. "How the number of options affects prosocial choice," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 356-370.

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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