P -Hacking, Data type and Data-Sharing Policy

Datos Bibliográficos

ID9949865
AutoresAbel Brodeur (0000-0003-3980-4324, University of Ottawa & Institute for Replication , Canada, autor de correspondencia), Nikolai Cook (0000-0003-2988-0606, Wilfrid Laurier University), Carina Neisser (0000-0002-9416-9506, University of Cologne & IZA , Germany)
Año2024
Volumen134
Número659
Páginas985-1018
Fecha de publicación2024-01-05
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaThe Economic Journal (JOURNAL)
Identificadores de la revistaISSN: 0013-0133 • E-ISSN: 1468-0297
EditorialOxford University Press (OUP) (PUBLISHER)
DOI10.1093/ej/uead104
OpenAlexW4390639552
IdiomaEN
Citas recibidas1
Referencias citadas42

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

Business · Computer security · Data sharing · Hacker · Internet privacy · Computer Science · Data Quality and Management · Medicine · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection