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Conducting large, repeated, multi-game economic experiments using mobile platforms

Li, Zhi and Lin, Po-Hsuan and Kong, Si-Yuan and Wang, Dongwu and Duffy, John (2021) Conducting large, repeated, multi-game economic experiments using mobile platforms. PLoS ONE, 16 (4). Art. No. e0250668. ISSN 1932-6203. https://resolver.caltech.edu/CaltechAUTHORS:20210429-132054062

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Abstract

We demonstrate the possibility of conducting synchronous, repeated, multi-game economic decision-making experiments with hundreds of subjects in-person or remotely with live streaming using entirely mobile platforms. Our experiment provides important proof-of-concept that such experiments are not only possible, but yield recognizable results as well as new insights, blurring the line between laboratory and field experiments. Specifically, our findings from 8 different experimental economics games and tasks replicate existing results from traditional laboratory experiments despite the fact that subjects play those games/task in a specific order and regardless of whether the experiment was conducted in person or remotely. We further leverage our large subject population to study the effect of large (N = 100) versus small (N = 10) group sizes on behavior in three of the scalable games that we study. While our results are largely consistent with existing findings for small groups, increases in group size are shown to matter for the robustness of those findings.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1371/journal.pone.0250668DOIArticle
https://doi.org/10.17605/OSF.IO/KUXENDOIexperimental data and code
ORCID:
AuthorORCID
Li, Zhi0000-0003-4219-0853
Lin, Po-Hsuan0000-0003-3437-1734
Duffy, John0000-0002-7660-2281
Additional Information:© 2021 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Received: January 8, 2021; Accepted: April 8, 2021; Published: April 29, 2021. We thank Colin Camerer, Joseph Tao-yi Wang, Thomas Palfrey, and audiences at the University of Queensland Behavioural and Economics Science Cluster e-seminar for helpful feedback. We also thank the MobLab team for developing and supplying the experimental platform and providing technical assistance both on-site and remotely throughout our experiments. Finally, we thank the student assistants, the administrative and technical staff, and the organizing committee of the summer camp from Xiamen University for helping with the preparation, organization, testing, and logistics. Z.L. was supported by the National Natural Science Foundation of China (Grant No. 71873116) and the NSFC Basic Science Center Program (Grant No. 71988101). S.K. and D.W. were employed by and received salary from MobLab Inc. (www.moblab.com). J.D. is a Scientific Advisor to MobLab, a position with no compensation but with a small equity stake. Experiment 1 in 2019 was funded by MobLab Inc. Experiment 2 in 2020 was funded by Xiamen University. The funder provided support in the form of salaries for authors S.K., D.W., and J.D. but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the "author contributions" section. Author Contributions: Conceptualization: Zhi Li, Po-Hsuan Lin, Si-Yuan Kong, Dongwu Wang, John Duffy. Formal analysis: Zhi Li, Po-Hsuan Lin, Si-Yuan Kong, Dongwu Wang, John Duffy. Funding acquisition: Zhi Li. Investigation: Zhi Li, Po-Hsuan Lin, Si-Yuan Kong, Dongwu Wang, John Duffy. Methodology: Zhi Li, Po-Hsuan Lin, Si-Yuan Kong, Dongwu Wang, John Duffy. Project administration: Zhi Li. Software: Si-Yuan Kong, Dongwu Wang. Visualization: Po-Hsuan Lin. Writing – original draft: Zhi Li, Po-Hsuan Lin, Si-Yuan Kong, Dongwu Wang, John Duffy. Writing – review & editing: Zhi Li, Po-Hsuan Lin, Si-Yuan Kong, Dongwu Wang, John Duffy. Data Availability: The experimental data and code for all analyses are uploaded to Open Science Framework (OSF) and publicly accessible via DOI 10.17605/OSF.IO/KUXEN or https://osf.io/kuxen/. Competing interests: Z.L. has no competing interest. P.L. was employed by MobLab from December 2017 to December 2018 and compensated more than US $10,000 during the last 3 years. S.K. and D.W. are employed by MobLab and compensated more than US $10,000 during the last 3 years. J.D. is a Scientific Advisor to MobLab, a position with no compensation but with a small equity stake. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China71873116
National Natural Science Foundation of China71988101
Moblab, Inc.UNSPECIFIED
Xiamen UniversityUNSPECIFIED
Issue or Number:4
Record Number:CaltechAUTHORS:20210429-132054062
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210429-132054062
Official Citation:Li Z, Lin P-H, Kong S-Y, Wang D, Duffy J (2021) Conducting large, repeated, multi-game economic experiments using mobile platforms. PLoS ONE 16(4): e0250668. https://doi.org/10.1371/journal.pone.0250668
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108874
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:29 Apr 2021 21:00
Last Modified:29 Apr 2021 21:00

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