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p-Hacking, Data type and Data-Sharing Policy

delete2024-01-05
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OA
AI
A
Abel Brodeur *
N
Nikolai Cook
C
Carina Neisser
DOI：10.1093/ej/uead104delete
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Abstract

Abstract

En 中文
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.
Keywords:
PUBLICATION BIAS
ECONOMICS
TRANSPARENCY
REPLICATION
REPRODUCIBILITY
FACTS

Journal

Economic Journal cover
Economic Journal
IF:
3.6
Papers:
5.5K
Citations:
1.6W

Organization

No organization information available