TY  - RPRT
        AU  - Brodeur, Abel
AU  - Cook, Nikolai
AU  - Neisser, Carina
        TI  - P-Hacking, Data Type and Data-Sharing Policy
        PY  - 2022/Sep/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 15586
        UR  - https://www.iza.org/publications/dp15586
        AB  - 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.
        KW  - p-hacking
KW  - publication bias
KW  - data and code availability
KW  - data sharing policy
KW  - administrative data
KW  - survey data
        ER  -