P-Hacking, Data Type and Data-Sharing Policy

Abel Brodeur, Nikolai Cook, Carina Neisser
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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 2002–2020. 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.
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P 黑客、数据类型和数据共享政策
本文研究了 P 黑客、出版偏差和数据共享政策之间的关系。我们收集了 2002-2020 年间发表在主要经济期刊上的 1,106 篇文章中的 38,876 个测试统计数据。我们发现,虽然数据共享政策增加了数据的提供,但并没有减少黑客攻击和出版偏差的程度。同样,使用难以获取的行政数据或第三方调查数据的文章,与使用较易获取的数据(如作者收集的数据)的文章相比,在p-hacking和出版程度上并无不同。作者在自己的主页上自愿提供数据并不能证明黑客行为有所减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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