IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v21y2019icp58-60.html
   My bibliography  Save this article

oTree: Implementing experiments with dynamically determined data quantity

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S221463501830162X
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jbef.2018.10.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.
    4. Flores, Lia Q. & Fonseca, Miguel A., 2024. "Do in-group biases lead to overconfidence in performance? Experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 111(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hillenbrand, Adrian & Winter, Fabian, 2018. "Volunteering under population uncertainty," Games and Economic Behavior, Elsevier, vol. 109(C), pages 65-81.
    2. 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.
    3. Jean Paul Rabanal & Aleksei Chernulich & John Horowitz & Olga A. Rud & Manizha Sharifova, 2019. "Market timing under public and private information," Working Papers 151, Peruvian Economic Association.
    4. Benndorf, Volker & Rau, Holger A. & Sölch, Christian, 2019. "Minimizing learning in repeated real-effort tasks," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 239-248.
    5. Hippel, Svenja & Hillenbrand, Adrian, 2018. "Strategic Inattention in Product Search," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181510, Verein für Socialpolitik / German Economic Association.
    6. Huber, Christoph, 2019. "oTree: The bubble game," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 3-6.
    7. Imen Bouhlel & Michela Chessa & Agnès Festré & Eric Guerci, 2019. "When to Stop? A Theoretical and Experimental Investigation of an Individual Search Task," GREDEG Working Papers 2019-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    8. Holzmeister, F. & Kerschbamer, R., 2019. "oTree: The Equality Equivalence Test," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 214-222.
    9. John Duffy & Jean Paul Rabanal & Olga A. Rud, 2019. "The Impact of ETFs on Asset Markets: Experimental Evidence," Working Papers 154, Peruvian Economic Association.
    10. Ifcher, John & Zarghamee, Homa, 2020. "Competitive Preferences among Asians in the U.S," IZA Discussion Papers 13913, Institute of Labor Economics (IZA).
    11. Lechthaler, Wolfgang & Ring, Patrick, 2021. "Labor force participation, job search effort and unemployment insurance in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 748-778.
    12. Heinicke, Franziska & Rosenkranz, Stephanie & Weitzel, Utz, 2019. "The effect of pledges on the distribution of lying behavior: An online experiment," Journal of Economic Psychology, Elsevier, vol. 73(C), pages 136-151.
    13. Nattavudh Powdthavee & Yohanes E Riyanto & Erwin C L Wong & Jonathan X W Yeo & Qi Yu Chan, 2021. "When face masks signal social identity: Explaining the deep face-mask divide during the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-15, June.
    14. Lambsdorff, Johann Graf & Grubiak, Kevin & Werner, Katharina, 2023. "Intrinsic Motivation vs. Corruption? Experimental Evidence on the Performance of Officials," MPRA Paper 118153, University Library of Munich, Germany.
    15. M. Djiguemde & D. Dubois & A. Sauquet & M. Tidball, 2022. "Continuous Versus Discrete Time in Dynamic Common Pool Resource Game Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 985-1014, August.
    16. Daniel Woods & Mustafa Abdallah & Saurabh Bagchi & Shreyas Sundaram & Timothy Cason, 2022. "Network defense and behavioral biases: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 254-286, February.
    17. Alberti, Federica & Mantilla, César, 2020. "Provision of noxious facilities using a market-like mechanism: A simple implementation in the lab," Working papers 35, Red Investigadores de Economía.
    18. Bouma, J.A. & Nguyen, Binh & van der Heijden, Eline & Dijk, J.J., 2018. "Analysing Group Contract Design Using a Lab and a Lab-in-the-Field Threshold Public Good Experiment," Discussion Paper 2018-049, Tilburg University, Center for Economic Research.
    19. Markus Dertwinkel-Kalt & Jonas Frey, 2020. "Optimal Stopping in a Dynamic Salience Model," CESifo Working Paper Series 8496, CESifo.
    20. Huber, Christoph & Huber, Jürgen, 2020. "Bad bankers no more? Truth-telling and (dis)honesty in the finance industry," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 472-493.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:beexfi:v:21:y:2019:i:c:p:58-60. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.