@TechReport{iza:izadps:dp15586,
            	author={Brodeur, Abel and Cook, Nikolai and Neisser, Carina},
            	title={P-Hacking, Data Type and Data-Sharing Policy},
            	year={2022},
	month={Sep},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={15586},
            	url={https://www.iza.org/index.php/publications/dp15586},
	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},
            }