IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v22y2019icp223-231.html
   My bibliography  Save this article

classEx — an online tool for lab-in-the-field experiments with smartphones

Author

Listed:
  • Giamattei, Marcus
  • Lambsdorff, Johann Graf

Abstract

classEx is an online tool for running experiments with smartphones. It can be employed for lab-in-the-field experiments, allowing the investigation of behavior in natural settings and with large groups, even if their size is unknown and varying. Standard experiments with multiple treatments, monetary incentives, roles, groups, rounds and stages are available in a ready-made format. An easy-to-use modular backend system allows users to conveniently implement their own experiments. Replication is facilitated by the possibility of sharing experiments and results with other researchers. We provide some applications, describe the functionality and show how classEx tackles the challenges of lab-in-the-field research.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:beexfi:v:22:y:2019:i:c:p:223-231
    DOI: 10.1016/j.jbef.2019.04.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S221463501830248X
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jbef.2019.04.008?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. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    2. Nautz, Dieter, 1997. "How Auctions Reveal Information: A Case Study on German REPO Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 17-25, February.
    3. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    4. Robin Cubitt & Chris Starmer & Robert Sugden, 1998. "On the Validity of the Random Lottery Incentive System," Experimental Economics, Springer;Economic Science Association, vol. 1(2), pages 115-131, September.
    5. Humberto Llavador & Marcus Giamattei, 2017. "Teaching microeconomic principles with smartphones – lessons from classroom experiments with classEx," Economics Working Papers 1584, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Johann Graf Lambsdorff & Marcus Giamattei & Katharina Werner & Manuel Schubert, 2018. "Team reasoning—Experimental evidence on cooperation from centipede games," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-17, November.
    7. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
    8. George A. Akerlof & Robert J. Shiller, 2010. "Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism," Economics Books, Princeton University Press, edition 1, number 9163.
    9. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    10. Nagel, Rosemarie, 1995. "Unraveling in Guessing Games: An Experimental Study," American Economic Review, American Economic Association, vol. 85(5), pages 1313-1326, December.
    11. 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.
    12. Guido Baltussen & G. Post & Martijn Assem & Peter Wakker, 2012. "Random incentive systems in a dynamic choice experiment," Experimental Economics, Springer;Economic Science Association, vol. 15(3), pages 418-443, September.
    13. John Duffy, 2011. "Symposium: Trust in Second Life," Southern Economic Journal, John Wiley & Sons, vol. 78(1), pages 53-62, July.
    14. 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)

    Citations

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


    Cited by:

    1. Chan, Shu Wing & Schilizzi, Steven & Iftekhar, Md Sayed & Da Silva Rosa, Raymond, 2019. "Web-based experimental economics software: How do they compare to desirable features?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 138-160.
    2. Verena Dorner & Marcus Giamattei & Matthias Greiff, 2020. "The Market for Reviews: Strategic Behavior of Online Product Reviewers with Monetary Incentives," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(3), pages 397-435, July.
    3. Pin, Paolo & Rotesi, Tiziano, 2023. "App-based experiments," Journal of Economic Psychology, Elsevier, vol. 99(C).
    4. Wubeshet Regasa & Umberto Galmarini & Giuseppe Porro, 2024. "Victim’s identification and social categorization: first- and second-order effects on altruistic behavior," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 71(4), pages 959-988, December.
    5. 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).
    6. Anna Kerkhof & Johannes Münster, 2021. "Detecting coverage bias in user-generated content," ECONtribute Discussion Papers Series 057, University of Bonn and University of Cologne, Germany.
    7. Claus, Corinna & Köhler, Ekkehard A. & Krieger, Tim, 2022. "Can moral reminders curb corruption? Evidence from an online classroom experiment," Discussion Paper Series 2022-01, University of Freiburg, Wilfried Guth Endowed Chair for Constitutional Political Economy and Competition Policy.
    8. Anna Kerkhof & Johannes Münster, 2021. "Detecting Coverage Bias in User-Generated Content," CESifo Working Paper Series 8844, CESifo.
    9. Fidanoski, Filip & Johnson, Timothy, 2023. "A z-Tree implementation of the Dynamic Experiments for Estimating Preferences [DEEP] method," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    10. Beck, Tobias, 2021. "How the honesty oath works: Quick, intuitive truth telling under oath," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    11. 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.

    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. 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.
    2. Michael Kirchler & Florian Lindner & Utz Weitzel, 2018. "Rankings and Risk‐Taking in the Finance Industry," Journal of Finance, American Finance Association, vol. 73(5), pages 2271-2302, October.
    3. Galizzi, Matteo M. & Machado, Sara R. & Miniaci, Raffaele, 2016. "Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample," LSE Research Online Documents on Economics 67554, London School of Economics and Political Science, LSE Library.
    4. Goeschl, Timo & Kettner, Sara Elisa & Lohse, Johannes & Schwieren, Christiane, 2020. "How much can we learn about voluntary climate action from behavior in public goods games?," Ecological Economics, Elsevier, vol. 171(C).
    5. Giamattei, Marcus & Graf Lambsdorff, Johann, 2015. "classEx: An online software for classroom experiments," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-68-15, University of Passau, Faculty of Business and Economics.
    6. Brosig-Koch, Jeannette & Hennig-Schmidt, Heike & Kairies-Schwarz, Nadja & Kokot, Johanna & Wiesen, Daniel, 2020. "Physician performance pay: Experimental evidence," HERO Online Working Paper Series 2020:3, University of Oslo, Health Economics Research Programme.
    7. Bosch-Domènech, Antoni & Vriend, Nicolaas J., 2013. "On the role of non-equilibrium focal points as coordination devices," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 52-67.
    8. Kirchler, Michael & Lindner, Florian & Weitzel, Utz, 2020. "Delegated investment decisions and rankings," Journal of Banking & Finance, Elsevier, vol. 120(C).
    9. Steffen Huck & Wieland Müller, 2012. "Allais for all: Revisiting the paradox in a large representative sample," Journal of Risk and Uncertainty, Springer, vol. 44(3), pages 261-293, June.
    10. Quement, Mark T. Le & Marcin, Isabel, 2020. "Communication and voting in heterogeneous committees: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 449-468.
    11. Halko, Marja-Liisa & Lappalainen, Olli & Sääksvuori, Lauri, 2021. "Do non-choice data reveal economic preferences? Evidence from biometric data and compensation-scheme choice," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 87-104.
    12. Ferdinand M. Vieider & Mathieu Lefebvre & Ranoua Bouchouicha & Thorsten Chmura & Rustamdjan Hakimov & Michal Krawczyk & Peter Martinsson, 2015. "Common Components Of Risk And Uncertainty Attitudes Across Contexts And Domains: Evidence From 30 Countries," Journal of the European Economic Association, European Economic Association, vol. 13(3), pages 421-452, June.
    13. Robin Cubitt & Gijs van de Kuilen & Sujoy Mukerji, 2020. "Discriminating Between Models of Ambiguity Attitude: a Qualitative Test," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 708-749.
    14. Nicole M. Baran & Paola Sapienza & Luigi Zingales, 2010. "Can we infer social preferences from the lab? Evidence from the trust game," NBER Working Papers 15654, National Bureau of Economic Research, Inc.
    15. Jon Anderson & Stephen Burks & Jeffrey Carpenter & Lorenz Götte & Karsten Maurer & Daniele Nosenzo & Ruth Potter & Kim Rocha & Aldo Rustichini, 2013. "Self-selection and variations in the laboratory measurement of other-regarding preferences across subject pools: evidence from one college student and two adult samples," Experimental Economics, Springer;Economic Science Association, vol. 16(2), pages 170-189, June.
    16. Johannes Abeler & Daniele Nosenzo, 2015. "Self-selection into laboratory experiments: pro-social motives versus monetary incentives," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 195-214, June.
    17. Michael Kirchler & Florian Lindner & Utz Weitzel, 2018. "Delegated Decision Making and Social Competition in the Finance Industry," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2018_08, Max Planck Institute for Research on Collective Goods.
    18. Sebastian Bachler & Felix Holzmeister & Michael Razen & Matthias Stefan, 2021. "The Impact of Presentation Format and Choice Architecture on Portfolio Allocations: Experimental Evidence," Working Papers 2021-15, Faculty of Economics and Statistics, Universität Innsbruck.
    19. 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.
    20. Víctor González-Jiménez, 2021. "Incentive contracts when agents distort probabilities," Vienna Economics Papers vie2101, University of Vienna, Department of Economics.

    More about this item

    Keywords

    Experimental software; Lab-in-the-field; Experimental standards; Smartphones; Classroom experiments;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • E70 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - General

    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:eee:beexfi:v:22:y:2019:i:c:p:223-231. 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.