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oTree: Implementing experiments with dynamically determined data quantity

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  • Konrad, Markus

Abstract

oTree (Chen et al., 2015) provides an excellent platform and device independent open-source software environment for creating experiments. In some scenarios, namely when dealing with a large or dynamic quantity of data, oTree’s design makes it hard to avoid error-prone repetitive coding. This article presents a way of realizing dynamic and flexible data collection that is easy to implement and follows the principles of good software engineering. A market scenario is used as an example and basis for an illustrative implementation which is also provided along with this article. A software package is presented that extends oTree’s capabilities of live data monitoring and data export of dynamically collected data.

Suggested Citation

  • Konrad, Markus, 2019. "oTree: Implementing experiments with dynamically determined data quantity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 58-60.
    • Handle: RePEc:eee:beexfi:v:21:y:2019:i:c:p:58-60
    DOI: 10.1016/j.jbef.2018.10.006
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    References listed on IDEAS

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    1. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    2. Holzmeister, Felix & Pfurtscheller, Armin, 2016. "oTree: The “bomb” risk elicitation task," Journal of Behavioral and Experimental Finance, Elsevier, vol. 10(C), pages 105-108.
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    Cited by:

    1. Lia Q. Flores & Miguel A. Fonseca, 2021. "Do in-group biases lead to overconfidence in performance? Experimental evidence," Discussion Papers 2103, University of Exeter, Department of Economics.
    2. Chapkovski, Philipp & Kujansuu, Essi, 2019. "Real-time interactions in oTree using Django Channels: Auctions and real effort tasks," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 114-123.
    3. Glenn W. Harrison & Andre Hofmeyr & Harold Kincaid & Brian Monroe & Don Ross & Mark Schneider & J. Todd Swarthout, 2021. "A case study of an experiment during the COVID-19 pandemic: online elicitation of subjective beliefs and economic preferences," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 194-209, December.

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