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A New Mechanism to Alleviate the Crises of Confi dence in Science With An Application to the Public Goods Game

Author

Listed:
  • Luigi Butera
  • Philip J Grossman
  • Daniel Houser
  • John A List
  • Marie Claire Villeval

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

Abstract
Recently a credibility crisis has taken hold across the social sciences, arguing that a component of Fischer (1935)'s tripod has not been fully embraced: replication. The importance of replications is not debatable scientifically, but researchers and journals' incentives are not sufficient to encourage replications. We analyze a novel, decentralized approach promoting replications through beneficial gains between scholars and editors. We highlight the trade-offs involved in seeking independent replications before submission to journals, and demonstrate the operation of this method via an investigation of the effects of Knightian uncertainty on cooperation in public goods games, a pervasive feature but largely unexplored in the literature.

Suggested Citation

  • Luigi Butera & Philip J Grossman & Daniel Houser & John A List & Marie Claire Villeval, 2022. "A New Mechanism to Alleviate the Crises of Confi dence in Science With An Application to the Public Goods Game," Working Papers hal-03725592, HAL.
    • Handle: RePEc:hal:wpaper:hal-03725592
    Note: View the original document on HAL open archive server: https://cnrs.hal.science/hal-03725592
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    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Brodeur, Abel & Cook, Nikolai & Hartley, Jonathan & Heyes, Anthony, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," MetaArXiv uxf39, Center for Open Science.
    2. Abel Brodeur & Nikolai M. Cook & Jonathan S. Hartley & Anthony Heyes, 2024. "Do Preregistration and Preanalysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(3), pages 527-561.
    3. Takeuchi, Ai & Seki, Erika, 2023. "Coordination and free-riding problems in the provision of multiple public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 95-121.
    4. Gary Charness & Brian Jabarian & John A. List, 2023. "Generation Next: Experimentation with AI," NBER Working Papers 31679, National Bureau of Economic Research, Inc.
    5. Dorner, Zack & Tucker, Steven & Hassan, Gazi M, 2024. "Heterogeneous productivity stabilizes public good contributions under certainty, uncertainty and ambiguity," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 110(C).
    6. Ai Takeuchi & Erika Seki, 2023. "Overcoming problems of coordination and freeriding in a game with multiple public goods: dynamic contribution with information provision," The Japanese Economic Review, Springer, vol. 74(3), pages 379-411, July.
    7. Robert Ammerman & Anne Duggan & John List & Lauren Supplee & Dana Suskind, 2021. "The role of open science practices in scaling evidence-based prevention programs," Natural Field Experiments 00741, The Field Experiments Website.
    8. Moritz A. Drupp & Menusch Khadjavi & Rudi Voss, 2024. "The Truth-Telling of Truth-Seekers: Evidence from Online Experiments with Scientists," CESifo Working Paper Series 10897, CESifo.
    9. Ahsanuzzaman, & Palm-Forster, Leah H. & Suter, Jordan F., 2022. "Experimental evidence of common pool resource use in the presence of uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 139-160.
    10. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    11. Igor Asanov & Christoph Buehren & Panagiota Zacharodimou, 2020. "The power of experiments: How big is your n?," MAGKS Papers on Economics 202032, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    12. John A. List, 2024. "Optimally generate policy-based evidence before scaling," Nature, Nature, vol. 626(7999), pages 491-499, February.

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    More about this item

    Keywords

    Replication; science; public goods; uncertainty;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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