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On the impulse in impulse learning

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  • Ding, Jieyao
  • Nicklisch, Andreas

Abstract

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

Suggested Citation

  • Ding, Jieyao & Nicklisch, Andreas, 2013. "On the impulse in impulse learning," Economics Letters, Elsevier, vol. 121(2), pages 294-297.
    • Handle: RePEc:eee:ecolet:v:121:y:2013:i:2:p:294-297
    DOI: 10.1016/j.econlet.2013.08.022
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    References listed on IDEAS

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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

    Feedback; Impulse; Learning; Maximin value; Reinforcement;
    All these keywords.

    JEL classification:

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

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