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By chance or by choice? Biased attribution of others’ outcomes

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Abstract
Decision makers in positions of power often make unobserved choices under risk and uncertainty. What inferences are made about their choices when only outcomes are observed? Using a laboratory experiment, we investigate attribution biases in the evaluation of outcomes. Decision makers face a trade-off between maximizing their own payoff and those of other individuals. We show that attribution biases exist in the evaluation of good outcomes and decision makers receive too little credit for their successes. Importantly, the biases tend to be driven by subjects who make the selfish choice themselves when placed in the role of the decision maker.

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  • Nisvan Erkal & Lata Gangadharan & Boon Han Koh, 2018. "By chance or by choice? Biased attribution of others’ outcomes," Department of Economics - Working Papers Series 2040, The University of Melbourne.
    • Handle: RePEc:mlb:wpaper:2040
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    File URL: https://fbe.unimelb.edu.au/__data/assets/pdf_file/0010/2888884/2040_Boon-and-Nisvan_LeadershipEL-draft.pdf
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    Cited by:

    1. David Danz & Lise Vesterlund & Alistair J. Wilson, 2020. "Belief Elicitation: Limiting Truth Telling with Information on Incentives," NBER Working Papers 27327, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    Beliefs about others’ decisions; Biases; Asymmetric attribution; Social preferences; Experiments;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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