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Fields Changed

Registration

Field Before After
Study Withdrawn No
Intervention Completion Date December 31, 2020
Data Collection Complete Yes
Final Sample Size: Number of Clusters (Unit of Randomization) N/A
Was attrition correlated with treatment status? No
Final Sample Size: Total Number of Observations 503
Final Sample Size (or Number of Clusters) by Treatment Arms 297, 203
Public Data URL https://github.com/boonhankoh/EGK-effort_luck
Is there a restricted access data set available on request? No
Program Files Yes
Program Files URL https://github.com/boonhankoh/EGK-effort_luck
Data Collection Completion Date December 31, 2020
Is data available for public use? Yes
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Papers

Field Before After
Paper Abstract Decision makers in positions of power often make unobserved choices under risk and uncertainty. In many cases, they face a trade-off between maximizing their own payoff and those of other individuals. What inferences are made in such instances about their choices when only outcomes are observable? We conduct two experiments that investigate whether outcomes are attributed to luck or choices. Decision makers choose between two investment options, where the more costly option has a higher chance of delivering a good outcome (that is, a higher payoff) for the group. We show that attribution biases exist in the evaluation of good outcomes. On average, good outcomes of decision makers are attributed more to luck as compared to bad outcomes. This asymmetry implies that decision makers get too little credit for their successes. The biases are exhibited by those individuals who make or would make the less prosocial choice for the group as decision makers, suggesting that a consensus effect may be shaping both the belief formation and updating processes.
Paper Citation Erkal, N., Gangadharan, L. & Koh, B.H. By chance or by choice? Biased attribution of others’ outcomes when social preferences matter. Exp Econ 25, 413–443 (2022).
Paper URL https://doi.org/10.1007/s10683-021-09731-w
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