Affiliation:
1. University of Ottawa & Institute for Replication , Canada
2. Wilfrid Laurier University , Canada
3. University of Cologne & IZA , Germany
Abstract
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.
Publisher
Oxford University Press (OUP)
Reference49 articles.
1. Statistical nonsignificance in empirical economics;Abadie;American Economic Review: Insights,2020
2. P-hacking in clinical trials and how incentives shape the distribution of results across phases;Adda;Proceedings of the National Academy of Sciences,2020
3. Identification of and correction for publication bias;Andrews;American Economic Review,2019
4. The significance of data-sharing policy;Askarov;Journal of the European Economic Association,2023
5. Crime and punishment: An economic approach;Becker,1968
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献