Hostname: page-component-745bb68f8f-d8cs5 Total loading time: 0 Render date: 2025-01-07T19:34:06.274Z Has data issue: false hasContentIssue false

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

Published online by Cambridge University Press:  01 January 2025

Glenn W. Harrison*
Affiliation:
Department of Risk Management and Insurance, Robinson College of Business, Georgia State University, Atlanta, USA Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University, Atlanta, USA School of Economics, University of Cape Town, Cape Town, South Africa
Andre Hofmeyr*
Affiliation:
School of Economics, University of Cape Town, Cape Town, South Africa Research Unit in Behavioural Economics and Neuroeconomics, University of Cape Town, Cape Town, South Africa
Harold Kincaid*
Affiliation:
School of Economics, University of Cape Town, Cape Town, South Africa Research Unit in Behavioural Economics and Neuroeconomics, University of Cape Town, Cape Town, South Africa
Brian Monroe*
Affiliation:
School of Philosophy and School of Economics, University College Dublin, Dublin, Ireland
Don Ross*
Affiliation:
Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University, Atlanta, USA School of Economics, University of Cape Town, Cape Town, South Africa Research Unit in Behavioural Economics and Neuroeconomics, University of Cape Town, Cape Town, South Africa School of Society, Politics and Ethics, University College Cork, Cork, Ireland
Mark Schneider*
Affiliation:
Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University, Atlanta, USA
J. Todd Swarthout*
Affiliation:
Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University, Atlanta, USA Department of Economics and Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, Atlanta, USA

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.

Type
Original Paper
Copyright
Copyright © 2021 The Author(s), under exclusive licence to Economic Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Andersen, S., Harrison, G. W., Lau, M. I., Rutström, E. E. (2014). Discounting behavior: A reconsideration. European Economic Review, 71, 1533. 10.1016/j.euroecorev.2014.06.009CrossRefGoogle Scholar
Andersen, S., Harrison, G. W., Lau, M. I., Rutström, E. E. (2018). Multiattribute utility theory, intertemporal utility, and correlation aversion. International Economic Review, 59(2), 537555. 10.1111/iere.12279CrossRefGoogle Scholar
Arechar, A. A., Gächter, S., Molleman, L. (2018). Conducting interactive experiments online. Experimental Economics, 21, 99131. 10.1007/s10683-017-9527-2CrossRefGoogle ScholarPubMed
Chen, D. L., Schonger, M., Wickens, C. (2016). oTree—an open-source platform for laboratory, online, and field experiments. Journal of Behavioral and Experimental Finance, 9, 8897. 10.1016/j.jbef.2015.12.001CrossRefGoogle Scholar
Duch, M. L., Grossmann, M. R.P., Lauer, T. (2020). z-Tree unleashed: A novel client-integrating architecture for conducting z-tree experiments over the internet. Working Paper 99, Department of Economics, University of Cologne.Google Scholar
Harrison, G. W., Hofmeyr, A., Kincaid, H., Monroe, B., Ross, D., Schneider, M., Swarthout, J. T. (2021). Eliciting beliefs about COVID-19 prevalence and mortality: epidemiological models compared with the street. Methods, 195, 103112. 10.1016/j.ymeth.2021.04.003CrossRefGoogle ScholarPubMed
Harrison, G. W., Hofmeyr, A., Kincaid, H., Monroe, B., Ross, D., Schneider, M., & Swarthout, J. T. (2022). Subjective beliefs and economic preferences during the COVID-19 pandemic. Experimental Economics, forthcoming. https://doi.org/10.1007/s10683-021-09738-3.CrossRefGoogle Scholar
Harrison, G. W., Lau, M. I., Rutström, E. E. (2009). Risk attitudes, randomization to treatment, and self-selection into experiments. Journal of Economic Behavior and Organization, 70(3), 498507. 10.1016/j.jebo.2008.02.011CrossRefGoogle Scholar
Harrison, G. W., Lau, M. I., Yoo, H. I. (2020). Risk attitudes, sample selection and attrition in a longitudinal field experiment. Review of Economics and Statistics, 102(3), 552568. 10.1162/rest_a_00845CrossRefGoogle Scholar
Harrison, G. W., Martínez-Correa, J., Swarthout, J. T., Ulm, E. (2017). Scoring rules for subjective probability distributions. Journal of Economic Behavior & Organization, 134, 430448. 10.1016/j.jebo.2016.12.001CrossRefGoogle Scholar
Hey, J. D., Orme, C. (1994). Investigating generalizations of expected utility theory using experimental data. Econometrica, 62(6), 12911326. 10.2307/2951750CrossRefGoogle Scholar
Konrad, M. (2019). oTree: Implementing experiments with dynamically determined data quantity. Journal of Behavioral and Experimental Finance, 21, 5860. 10.1016/j.jbef.2018.10.006CrossRefGoogle Scholar
Zhao, S., López Vargas, K., Friedman, D., and Gutierrez, M. (2020). UCSC LEEPS lab protocol for online economics experiments. available on SSRN at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3594027.Google Scholar
Supplementary material: File

Harrison et al. supplementary material

Harrison et al. supplementary material
Download Harrison et al. supplementary material(File)
File 6.9 MB