p-Hacking, Data type and Data-Sharing Policy

Abel Brodeur, Nikolai Cook and Carina Neisser

The Economic Journal, 2024, vol. 134, issue 659, 985-1018

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.

Date: 2024
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Working Paper: P-Hacking, Data Type and Data-Sharing Policy (2022)
Working Paper: P-Hacking, Data Type and Data-Sharing Policy (2022)
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