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A case study of an experiment during the COVID-19 pandemic: online elicitation of subjective beliefs and economic preferences

Author

Listed:
  • Glenn W. Harrison

    (Robinson College of Business, Georgia State University
    Robinson College of Business, Georgia State University
    University of Cape Town)

  • Andre Hofmeyr

    (University of Cape Town
    University of Cape Town)

  • Harold Kincaid

    (University of Cape Town
    University of Cape Town)

  • Brian Monroe

    (University College Dublin)

  • Don Ross

    (Robinson College of Business, Georgia State University
    University of Cape Town
    University of Cape Town
    University College Cork)

  • Mark Schneider

    (Robinson College of Business, Georgia State University)

  • J. Todd Swarthout

    (Robinson College of Business, Georgia State University
    Georgia State University)

Abstract

We convey our experiences developing and implementing an online experiment to elicit subjective beliefs and economic preferences. The COVID-19 pandemic and associated closures of our laboratories required us to conduct an online experiment in order to collect beliefs and preferences associated with the pandemic in a timely manner. Since we had not previously conducted a similar multi-wave online experiment, we faced design and implementation considerations that are not present when running a typical laboratory experiment. By discussing these details more fully, we hope to contribute to the online experiment methodology literature at a time when many other researchers may be considering conducting an online experiment for the first time. We focus primarily on methodology; in a complementary study we focus on initial research findings.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jesaex:v:7:y:2021:i:2:d:10.1007_s40881-021-00115-7
    DOI: 10.1007/s40881-021-00115-7
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    References listed on IDEAS

    as
    1. Konrad, Markus, 2019. "oTree: Implementing experiments with dynamically determined data quantity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 58-60.
    2. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten I. & Rutström, E. Elisabet, 2014. "Discounting behavior: A reconsideration," European Economic Review, Elsevier, vol. 71(C), pages 15-33.
    3. Antonio A. Arechar & Simon Gächter & Lucas Molleman, 2018. "Conducting interactive experiments online," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 99-131, March.
    4. John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    5. Glenn W. Harrison & Morten I. Lau & Hong Il Yoo, 2020. "Risk Attitudes, Sample Selection, and Attrition in a Longitudinal Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 552-568, July.
    6. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2018. "Multiattribute Utility Theory, Intertemporal Utility, And Correlation Aversion," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 537-555, May.
    7. 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.
    8. Duch, Matthias L. & Grossmann, Max R.P. & Lauer, Thomas, 2020. "z-Tree unleashed: A novel client-integrating architecture for conducting z-Tree experiments over the Internet," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    9. Harrison, Glenn W. & Lau, Morten I. & Elisabet Rutström, E., 2009. "Risk attitudes, randomization to treatment, and self-selection into experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 70(3), pages 498-507, June.
    10. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd & Ulm, Eric R., 2017. "Scoring rules for subjective probability distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 430-448.
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    More about this item

    Keywords

    Experimental economic methodology; Online incentivized experiment; Risk preferences; Time preferences; Subjective beliefs;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

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