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 2002–2020. 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 homepages offers no evidence of reduced p-hacking.

中文翻译：

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P-Hacking、数据类型和数据共享政策

本文探讨了 p-hacking、出版偏见和数据共享政策之间的关系。我们从 2002 年至 2020 年间发表在领先经济期刊上的 1,106 篇文章中收集了 38,876 条测试统计数据。我们发现，虽然数据共享政策增加了数据的提供，但它们并没有减少 p-hacking 和出版偏见的程度。同样，使用难以访问的管理数据或第三方调查的文章与使用易于访问（例如，作者收集）数据的文章相比，其 p-hacking 和出版程度没有什么不同。作者在其主页上自愿提供的数据并没有提供 p-hacking 减少的证据。