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On the Impulse in Impulse Learning

Author

Listed:
  • Jieyao Ding

    (Max Planck Institute for Research on Collective Goods, Bonn)

  • Andreas Nicklisch

    (University of Hamburg, School of Business, Economics and Social Science)

Abstract

This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether positive feedback (i.e., yielding a superior payo in a game) or negative feedback (i.e., yielding an inferior payo in a game) leads to a systematic change in the individual choices. The results reveal that subjects predominantly learn from negative feedback.

Suggested Citation

  • Jieyao Ding & Andreas Nicklisch, 2013. "On the Impulse in Impulse Learning," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2013_02, Max Planck Institute for Research on Collective Goods.
    • Handle: RePEc:mpg:wpaper:2013_02
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    References listed on IDEAS

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    8. Brit Grosskopf, 2003. "Reinforcement and Directional Learning in the Ultimatum Game with Responder Competition," Experimental Economics, Springer;Economic Science Association, vol. 6(2), pages 141-158, October.
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    Citations

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    Cited by:

    1. William Neilson & Michael Price & Mikhael Shor, 2016. "Nudging Backward Induction," Working papers 2016-31, University of Connecticut, Department of Economics.
    2. Sebastian J. Goerg & Tibor Neugebauer & Abdolkarim Sadrieh, 2016. "Impulse Response Dynamics in Weakest Link Games," German Economic Review, Verein für Socialpolitik, vol. 17(3), pages 284-297, August.
    3. Heinrich Nax, 2015. "Equity dynamics in bargaining without information exchange," Journal of Evolutionary Economics, Springer, vol. 25(5), pages 1011-1026, November.
    4. Nax, Heinrich H., 2015. "Equity dynamics in bargaining without information exchange," LSE Research Online Documents on Economics 65426, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    learning; Aspiration level; Impulse; Reinforcement; Stimulus;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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