%0 Report
        %A Brodeur, Abel
%A Cook, Nikolai
%A Neisser, Carina
        %T P-Hacking, Data Type and Data-Sharing Policy
        %D 2022
        %8 2022 Sep
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 15586
        %U https://www.iza.org/index.php/publications/dp15586
        %X 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.
        %K p-hacking
%K publication bias
%K data and code availability
%K data sharing policy
%K administrative data
%K survey data