Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42667
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dc.contributor.authorBRUNS, Stephan-
dc.contributor.authorHerwartz, Helmut-
dc.contributor.authorIoannidis, John P.A.-
dc.contributor.authorISLAM, Chris-Gabriel-
dc.contributor.authorRaters, Fabian H. C.-
dc.date.accessioned2024-03-21T10:08:24Z-
dc.date.available2024-03-21T10:08:24Z-
dc.date.issued2023-
dc.date.submitted2024-03-13T23:07:01Z-
dc.identifier.urihttp://hdl.handle.net/1942/42667-
dc.description.abstractWe developed a tool that scrapes and interprets statistical values (DORIS) to analyze reporting errors, which occur if the eye-catcher depicting the level of statistical significance is inconsistent with the reported statistical values. Using 578,132 tests from the top 50 economics journals, we find that 14.88 % of the articles have at least * Acknowledgements: We thank-
dc.language.isoen-
dc.titleStatistical reporting errors in economics-
dc.typePreprint-
local.bibliographicCitation.jcatO-
local.type.refereedNon-Refereed-
local.type.specifiedPreprint-
dc.identifier.doi10.31222/osf.io/mbx62-
local.provider.typeCrossRef-
local.uhasselt.internationalyes-
item.fullcitationBRUNS, Stephan; Herwartz, Helmut; Ioannidis, John P.A.; ISLAM, Chris-Gabriel & Raters, Fabian H. C. (2023) Statistical reporting errors in economics.-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.contributorBRUNS, Stephan-
item.contributorHerwartz, Helmut-
item.contributorIoannidis, John P.A.-
item.contributorISLAM, Chris-Gabriel-
item.contributorRaters, Fabian H. C.-
Appears in Collections:Research publications
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