P-Hacking, Data Type and Data-Sharing Policy

Abel Brodeur, Nikolai Cook and Carina Neisser

No 200, ECONtribute Discussion Papers Series from University of Bonn and University of Cologne, Germany

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.

Keywords: p-Hacking; Publication Bias; Data and Code Availability; Data Sharing Policy; Administrative Data; Survey Data (search for similar items in EconPapers)
JEL-codes: A11 B41 C13 C40 I23 (search for similar items in EconPapers)
Pages: 85 pages
Date: 2022-09
New Economics Papers: this item is included in nep-sog
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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https://www.econtribute.de/RePEc/ajk/ajkdps/ECONtribute_200_2022.pdf First version, 2022 (application/pdf)

Related works:
Journal Article: p-Hacking, Data type and Data-Sharing Policy (2024)
Working Paper: P-Hacking, Data Type and Data-Sharing Policy (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:ajk:ajkdps:200

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