{"title":"P 黑客、数据类型和数据共享政策","authors":"Abel Brodeur, Nikolai Cook, Carina Neisser","doi":"10.1093/ej/uead104","DOIUrl":null,"url":null,"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.","PeriodicalId":501319,"journal":{"name":"The Economic Journal","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"P-Hacking, Data Type and Data-Sharing Policy\",\"authors\":\"Abel Brodeur, Nikolai Cook, Carina Neisser\",\"doi\":\"10.1093/ej/uead104\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":501319,\"journal\":{\"name\":\"The Economic Journal\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Economic Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/ej/uead104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Economic Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ej/uead104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
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。
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.