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p-Hacking, Data type and Data-Sharing Policy

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  • Abel Brodeur
  • Nikolai Cook
  • Carina Neisser

Abstract

This paper examines the relationship between p-hacking, publication bias and data-sharing policies. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002–20. We find that, while data-sharing policies increase the provision of data, they do not decrease the extent of p-hacking and publication bias. Similarly, articles that use hard-to-access administrative data or third-party surveys, as compared to those that use easier-to-access (e.g., author-collected) data, are not different in their p-hacking and publication extent. Voluntary provision of data by authors on their home pages offers no evidence of reduced p-hacking.

Suggested Citation

  • Abel Brodeur & Nikolai Cook & Carina Neisser, 2024. "p-Hacking, Data type and Data-Sharing Policy," The Economic Journal, Royal Economic Society, vol. 134(659), pages 985-1018.
    • Handle: RePEc:oup:econjl:v:134:y:2024:i:659:p:985-1018.
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    File URL: http://hdl.handle.net/10.1093/ej/uead104
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