oTree: Implementing experiments with dynamically determined data quantity

Markus Konrad

Journal of Behavioral and Experimental Finance, 2019, vol. 21, issue C, 58-60

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.

Keywords: Experiment; Implementation; Software; oTree (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:beexfi:v:21:y:2019:i:c:p:58-60

DOI: 10.1016/j.jbef.2018.10.006

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