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Experimental Economics: Past and Future

Author

Listed:
  • Guillaume R. Fréchette

    (Department of Economics, New York University, New York, NY, USA)

  • Kim Sarnoff

    (Department of Economics, Princeton University, Princeton, New Jersey, USA)

  • Leeat Yariv

    (Department of Economics, Princeton University, Princeton, New Jersey, USA)

Abstract

Over the past several decades, lab experiments have offered economists a rich source of evidence on incentivized behavior. In this article, we use detailed data on experimental papers to describe recent trends in the literature. We also discuss various experimentation platforms and new approaches to the design and analysis of the data they generate.

Suggested Citation

  • Guillaume R. Fréchette & Kim Sarnoff & Leeat Yariv, 2022. "Experimental Economics: Past and Future," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 777-794, August.
    • Handle: RePEc:anr:reveco:v:14:y:2022:p:777-794
    DOI: 10.1146/annurev-economics-081621-124424
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    Citations

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    Cited by:

    1. Petra Nieken & Patrick W. Schmitz, 2023. "Contracting under asymmetric information and externalities: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 26(5), pages 989-1021, November.
    2. Gary Charness & James Cox & Catherine Eckel & Charles Holt & Brian Jabarian, 2023. "The Virtues of Lab Experiments," CESifo Working Paper Series 10796, CESifo.
    3. Gary Charness & Brian Jabarian & John List, 2023. "Generation Next: Experimentation with AI," Artefactual Field Experiments 00777, The Field Experiments Website.
    4. Cicognani, Simona & Romagnoli, Giorgia & Soraperra, Ivan, 2024. "Fostering trust: When the rhetoric of sharing can backfire," Journal of Economic Psychology, Elsevier, vol. 102(C).

    More about this item

    Keywords

    experimental economics; time trends; experimental platforms; MTurk; replication;
    All these keywords.

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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