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oTree: Ready-made apps for risk preference elicitation methods

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  • Holzmeister, Felix

Abstract

Since the emergence of experimental methods in economics, a variety of methodologies to elicit and classify individual-level risk preferences have evolved. This paper presents ready-to-use software applications for widely used choice list methodologies for use with oTree, including (i) multiple price lists, (ii) certainty equivalent tests, (iii) staircase methods, and (iv) single choice lists. The parameterization and configuration of different features of a task are administered by specifying predefined variables in a single, thoroughly documented file. All apps feature responsive graphical designs, are prepared for multilingual use, and include predefined “bots” for automated testing. By this means, each task can be implemented in the laboratory, the field, or online within only a few minutes.

Suggested Citation

  • Holzmeister, Felix, 2017. "oTree: Ready-made apps for risk preference elicitation methods," Journal of Behavioral and Experimental Finance, Elsevier, vol. 16(C), pages 33-38.
    • Handle: RePEc:eee:beexfi:v:16:y:2017:i:c:p:33-38
    DOI: 10.1016/j.jbef.2017.08.003
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    Cited by:

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    6. Nikolov, Plamen & Pape, Andreas & Tonguc, Ozlem & Williams, Charlotte, 2020. "Predictors of Social Distancing and Mask-Wearing Behavior: Panel Survey in Seven U.S. States," IZA Discussion Papers 13745, Institute of Labor Economics (IZA).
    7. Andraszewicz, Sandra & Friedman, Jason & Kaszás, Dániel & Hölscher, Christoph, 2023. "Zurich Trading Simulator (ZTS) — A dynamic trading experimental tool for oTree," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    8. Martin Holmén & Felix Holzmeister & Michael Kirchler & Matthias Stefan & Erik Wengström, 2023. "Economic Preferences and Personality Traits Among Finance Professionals and the General Population," The Economic Journal, Royal Economic Society, vol. 133(656), pages 2949-2977.
    9. Felix Holzmeister & Matthias Stefan, 2019. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Working Papers 2019-19, Faculty of Economics and Statistics, Universität Innsbruck.
    10. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    11. Rose, Julia & Rose, Michael, 2019. "Ready-made oTree apps for time preference elicitation methods," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 23-28.
    12. Huber, Christoph, 2019. "oTree: The bubble game," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 3-6.
    13. Farago, Adam & Holmén, Martin & Holzmeister, Felix & Kirchler, Michael & Razen, Michael, 2019. "Cognitive Skills and Economic Preferences in the Fund Industry," OSF Preprints 964ba, Center for Open Science.
    14. Heo, Wookjae & Grable, John E. & Rabbani, Abed G., 2018. "A test of the relevant association between utility theory and subjective risk tolerance: Introducing the Profit-to-Willingness ratio," Journal of Behavioral and Experimental Finance, Elsevier, vol. 19(C), pages 84-88.
    15. Felix Holzmeister & Matthias Stefan, 2021. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 593-616, June.
    16. Holzmeister, F. & Kerschbamer, R., 2019. "oTree: The Equality Equivalence Test," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 214-222.
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    18. Holzmeister, Felix & Stefan, Matthias, 2019. "The Risk Elicitation Puzzle Revisited: Across-Methods (In)consistency?," OSF Preprints pj9u2, Center for Open Science.

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