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P-Hacking, Data Type and Data-Sharing Policy

Author

Listed:
  • Abel Brodeur

    (University of Ottawa and IZA)

  • Nikolai Cook

    (Wilfrid Laurier University)

  • Carina Neisser

    (University of Cologne and IZA)

Abstract

In this paper, we examine the relationship between p-hacking and data sharing policies for published articles. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002–2020. While a data-sharing policy increases the provision of research data to the community, we find a well-estimated null effect that requiring authors to share their data at the time of publication does not alter the presence of p-hacking. Similarly, articles that use hard-to-access administrative data or third-party surveys, as compared to those that use easier-to-access (e.g., own-collected) data are not different in their p-hacking extent. Voluntary provision of data by authors on their homepages offers no evidence of reduced p-hacking.

Suggested Citation

  • Abel Brodeur & Nikolai Cook & Carina Neisser, 2022. "P-Hacking, Data Type and Data-Sharing Policy," ECONtribute Discussion Papers Series 200, University of Bonn and University of Cologne, Germany.
  • Handle: RePEc:ajk:ajkdps:200
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    References listed on IDEAS

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    2. Ankel-Peters, Jörg & Fiala, Nathan & Neubauer, Florian, 2023. "Do economists replicate?," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 219-232.

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    More about this item

    Keywords

    p-Hacking; Publication Bias; Data and Code Availability; Data Sharing Policy; Administrative Data; Survey Data;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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