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Lab-like findings from online experiments

Author

Listed:
  • Irene Maria Buso

    (Ca’ Foscari University of Venice)

  • Daniela Di Cagno

    (Luiss University)

  • Lorenzo Ferrari

    (Luiss University)

  • Vittorio Larocca

    (Luiss University)

  • Luisa Lorè

    (University of Innsbruck)

  • Francesca Marazzi

    (University of Rome Tor Vergata)

  • Luca Panaccione

    (Sapienza University of Rome)

  • Lorenzo Spadoni

    (Luiss University)

Abstract

Laboratory experiments have been often replaced by online experiments in the last decade. This trend has been reinforced when academic and research work based on physical interaction had to be suspended due to restrictions imposed to limit the spread of Covid-19. Therefore, data quality and results from web experiments have become an issue which is currently investigated. Are there significant differences between lab experiments and online findings? We contribute to this debate via an experiment aimed at comparing results from a novel online protocol with traditional laboratory settings, using the same pool of participants. We find that participants in our experiment behave in a similar way across settings and that there are at best weakly significant and quantitatively small differences in behavior observed using our online protocol and physical laboratory setting.

Suggested Citation

  • Irene Maria Buso & Daniela Di Cagno & Lorenzo Ferrari & Vittorio Larocca & Luisa Lorè & Francesca Marazzi & Luca Panaccione & Lorenzo Spadoni, 2021. "Lab-like findings from online experiments," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 184-193, December.
    • Handle: RePEc:spr:jesaex:v:7:y:2021:i:2:d:10.1007_s40881-021-00114-8
    DOI: 10.1007/s40881-021-00114-8
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    References listed on IDEAS

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    3. Giuseppe Attanasi & Massimo Egidi & Elena Manzoni, 2023. "Target-the-Two: a lab-in-the-field experiment on routinization," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 1-33, January.
    4. Alt, Marius & Gallier, Carlo & Kesternich, Martin & Sturm, Bodo, 2023. "Collective minimum contributions to counteract the ratchet effect in the voluntary provision of public goods," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
    5. Roggenkamp, Hauke C., 2024. "Revisiting ‘Growth and Inequality in Public Good Provision’—Reproducing and Generalizing Through Inconvenient Online Experimentation," OSF Preprints 6rn97, Center for Open Science.
    6. Janet Hua Jiang & Peter Norman & Daniela Puzzello & Bruno Sultanum & Randall Wright, 2024. "Is Money Essential? An Experimental Approach," Journal of Political Economy, University of Chicago Press, vol. 132(9), pages 2972-2998.
    7. Jessica B. Hoel & Prachi Jain & Bridget Galaty, 2022. "JUST VENMO ME: Does form of payment affect risk taking and intertemporal choice?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 8(1), pages 16-33, December.
    8. Zhang, Yinjunjie & Hoffmann, Manuel & Sara, Raisa & Eckel, Catherine, 2024. "Fairness preferences revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 223(C), pages 278-306.
    9. Lange, Andreas & Ross, Johannes, 2024. "Internalizing match-dependent externalities," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 356-378.
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    11. Guo, Yiting & Shachat, Jason & Walker, Matthew J. & Wei, Lijia, 2023. "On the generalizability of using mobile devices to conduct economic experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
    12. Irene Maria Buso & Daniela Di Cagno & Werner Gueth & Lorenzo Spadoni, 2024. "Voluntary Partnerships For Equally Sharing Contribution Costs - Theoretical Aspects and Experimental Evidence," Discussion Papers 2024/309, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
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    More about this item

    Keywords

    Methodology; Experiments; Lab-like data; Covid-19;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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