IDEAS home Printed from https://ideas.repec.org/p/kls/series/0099.html
   My bibliography  Save this paper

z-Tree unleashed: A novel client-integrating architecture for conducting z-Tree experiments over the Internet

Author

Listed:
  • Matthias L. Duch
  • Max R. P. Grossmann
  • Thomas Lauer

Abstract

We present z-Tree unleashed, a novel approach and set of scripts to aid the implementation of experimental economics laboratory experiments outside of the laboratory. z-Tree unleashed enables subjects to join the experiment using a web portal that requires no additional software. Experimenters are likewise enabled to administer their experiments from anywhere in the world. Except for z-Tree itself, z-Tree unleashed is entirely based on free and open source software. In this paper, we firstly outline the motivation. Secondly, we give a highlevel overview of z-Tree unleashed's advantages and its design. We then proceed to show how to set up the server and demonstrate the steps required for conducting an entire experiment. We subsequently explain how to leverage the security and routing features of a virtual private network with z-Tree unleashed, enabling servers to securely run behind routers.

Suggested Citation

  • Matthias L. Duch & Max R. P. Grossmann & Thomas Lauer, 2020. "z-Tree unleashed: A novel client-integrating architecture for conducting z-Tree experiments over the Internet," Working Paper Series in Economics 99, University of Cologne, Department of Economics.
    • Handle: RePEc:kls:series:0099
    as

    Download full text from publisher

    File URL: https://ockenfels.uni-koeln.de/fileadmin/wiso_fak/stawi-ockenfels/pdf/wp_series_download/wp0099.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James Pettit & Daniel Friedman & Curtis Kephart & Ryan Oprea, 2014. "Software for continuous game experiments," Experimental Economics, Springer;Economic Science Association, vol. 17(4), pages 631-648, December.
    2. 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.
    3. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    Full references (including those not matched with items on IDEAS)

    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. Aldrich, Eric M. & Demirci, Hasan Ali & López Vargas, Kristian, 2020. "An oTree-based flexible architecture for financial market experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    2. Marcus Giamattei & Kyanoush Seyed Yahosseini & Simon Gächter & Lucas Molleman, 2020. "LIONESS Lab: a free web-based platform for conducting interactive experiments online," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(1), pages 95-111, June.
    3. 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.
    4. 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.
    5. Christine Laudenbach & Michael Ungeheuer & Martin Weber, 2023. "How to Alleviate Correlation Neglect in Investment Decisions," Management Science, INFORMS, vol. 69(6), pages 3400-3414, June.
    6. Yoshio Iida, 2021. "Communication, choice continuity, and player number in a continuous-time public goods experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(4), pages 955-988, October.
    7. Przepiorka, Wojtek, 2023. "Laboratory experiments," SocArXiv 9cxq2, Center for Open Science.
    8. Giamattei, Marcus & Lambsdorff, Johann Graf, 2019. "classEx — an online tool for lab-in-the-field experiments with smartphones," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 223-231.
    9. Mark Marner-Hausen, 2022. "Developing a Framework for Real-Time Trading in a Laboratory Financial Market," ECONtribute Discussion Papers Series 172, University of Bonn and University of Cologne, Germany.
    10. Utz Weitzel & Christoph Huber & Jürgen Huber & Michael Kirchler & Florian Lindner & Julia Rose & Lauren Cohen, 2020. "Bubbles and Financial Professionals [Margin, short sell, and lotteries in experimental asset markets]," The Review of Financial Studies, Society for Financial Studies, vol. 33(6), pages 2659-2696.
    11. Becker, Christoph K. & Melkonyan, Tigran & Proto, Eugenio & Sofianos, Andis & Trautmann, Stefan T., 2020. "Reverse Bayesianism: Revising Beliefs in Light of Unforeseen Events," IZA Discussion Papers 13821, Institute of Labor Economics (IZA).
    12. Marco Angrisani & Marco Cipriani & Antonio Guarino & Ryan Kendall & Julen Ortiz de Zarate Pina, 2020. "Risk Preferences at the Time of COVID-19: An Experiment with Professional Traders and Students," Staff Reports 927, Federal Reserve Bank of New York.
    13. Vincent Laferrière & David Staubli & Christian Thöni, 2023. "Explaining Excess Entry in Winner-Take-All Markets," Management Science, INFORMS, vol. 69(2), pages 1050-1069, February.
    14. 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).
    15. Nisvan Erkal & Lata Gangadharan & Boon Han Koh, 2022. "By chance or by choice? Biased attribution of others’ outcomes when social preferences matter," Experimental Economics, Springer;Economic Science Association, vol. 25(2), pages 413-443, April.
    16. Christian König-Kersting & Monique Pollmann & Jan Potters & Stefan T. Trautmann, 2021. "Good decision vs. good results: Outcome bias in the evaluation of financial agents," Theory and Decision, Springer, vol. 90(1), pages 31-61, February.
    17. Farolfi, Stefano & Erdlenbruch, Katrin, 2020. "A classroom experimental game to improve the understanding of asymmetric common-pool resource dilemmas in irrigation water management," International Review of Economics Education, Elsevier, vol. 35(C).
    18. Zhao, Shuchen, 2021. "Taking turns in continuous time," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 257-279.
    19. Blume, Andreas & Lai, Ernest K. & Lim, Wooyoung, 2023. "Mediated talk: An experiment," Journal of Economic Theory, Elsevier, vol. 208(C).
    20. Bülow, Catharina Wolff von & Liu, Xiufeng, 2020. "Ready-made oTree applications for the study of climate change adaptation behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:kls:series:0099. 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: Kiryl Khalmetski (email available below). General contact details of provider: https://edirc.repec.org/data/swkoede.html .

    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.