Does Data Disclosure Increase Citations? Empirical Evidence from a Natural Experiment in Leading Economics Journals
Author(s) -
Mark J. McCabe,
Frank MuellerLanger
Publication year - 2019
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3329272
Subject(s) - citation , panel data , empirical evidence , natural experiment , citation impact , sample (material) , economics , actuarial science , econometrics , computer science , library science , statistics , mathematics , philosophy , epistemology , chemistry , chromatography
Does data disclosure have an impact on citations? Four leading economics journals introduced a data disclosure policy between 2004 and 2006. We use panel data consisting of 17,135 article citing-year observations from 1996 to 2015 for articles published in these journals. Empirical articles that did not disclose data (46% of the sample) serve as a control group. Evidence for a positive open data citation effect is weak (6% and not statistically significant). On the other hand, the citation impacts of publication are substantial and precisely estimated. Pure theory, hybrid and purely empirical articles enjoy citations benefits of 22%, 32% and 44%, respectively. Our pre- and post-publication citation data allow us to identify the citation effects of data disclosure and publication, while controlling for intrinsic article quality.
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