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An Anonymized Urn-Based Experimental Dataset on Decision-Making under Risk and Ambiguity

Author

Listed:
  • V'aclav Kratochv'il
  • Radim Jirouv{s}ek
  • Kl'ara v{S}imr{u}nkov'a
  • Simona Bav{z}antov'a

Abstract

This data paper describes an anonymized release derived from controlled behavioral experiments on decision-making under risk (known probabilities) and ambiguous uncertainty (partially specified or unknown probabilities) in Ellsberg-type urn tasks. The release contains 4,486 decision records from 246 adult participant records across two implementations (laboratory and online). In each task, participants reported their maximum stake to enter a subsequent lottery; these stake responses can be interpreted as proxies for willingness to pay within the implemented incentive mechanism. In a subset of tasks, participants also selected the color they wished to bet on. The online implementation additionally includes ex-post evaluations of perceived uncertainty across situations. The repository further provides detailed game definitions, realized lottery outcomes, participant instructions, and a data dictionary of variables. The source export contained 4,544 decision records; 58 records belonging to five participants younger than 18 were excluded from this release because documentation of guardian permission for unrestricted public data publication was not available. The dataset supports replication studies, comparisons of ambiguity-attitude models, and analyses of behavioral stability under repeated participation.

Suggested Citation

  • V'aclav Kratochv'il & Radim Jirouv{s}ek & Kl'ara v{S}imr{u}nkov'a & Simona Bav{z}antov'a, 2026. "An Anonymized Urn-Based Experimental Dataset on Decision-Making under Risk and Ambiguity," Papers 2608.26358, arXiv.org.
  • Handle: RePEc:arx:papers:2608.26358
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    References listed on IDEAS

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    3. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
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