Data and Code for: Cite Unseen (Cites to Academic Articles Across the Quality Spectrum)

Principal Investigator(s):  View help for Principal Investigator(s) Mark McCabe, Questrom School of Business, Boston University; Christopher Snyder, Dartmouth College

Version:  View help for Version V1

Name File Type Size Last Modified
McCabe_Snyder_MDE_Figure_2.do text/x-stata-syntax 2.6 KB 04/06/2021 01:52:PM
McCabe_Snyder_MDE_Figure_3.do text/x-stata-syntax 2.6 KB 04/06/2021 11:22:AM
McCabe_Snyder_MDE_Figure_B1.do text/x-stata-syntax 3 KB 04/06/2021 11:44:AM
McCabe_Snyder_MDE_Table_1.do text/x-stata-syntax 568 bytes 04/06/2021 11:17:AM
McCabe_Snyder_MDE_Table_2.do text/x-stata-syntax 4.3 KB 04/06/2021 08:10:AM
McCabe_Snyder_MDE_Table_3.do text/x-stata-syntax 498 bytes 04/06/2021 08:11:AM
McCabe_Snyder_MDE_Table_4.do text/x-stata-syntax 3.8 KB 04/06/2021 08:40:AM
McCabe_Snyder_MDE_Table_5.do text/x-stata-syntax 4.2 KB 04/06/2021 08:49:AM
McCabe_Snyder_MDE_Table_6.do text/x-stata-syntax 929 bytes 04/06/2021 09:00:AM
McCabe_Snyder_MDE_Table_7_Panel_A.do text/x-stata-syntax 3.8 KB 04/06/2021 02:14:PM

Project Citation: 

McCabe, Mark, and Snyder, Christopher. Data and Code for: Cite Unseen (Cites to Academic Articles Across the Quality Spectrum). Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-04-07. https://doi.org/10.3886/E137041V1

Project Description

Summary:  View help for Summary
This archive Stata data and code that the authors used to produce the tables and figures in the paper, Cite Unseen: Theory and Evidence on the Effect of Open Access on Cites to Academic Articles Across the Quality Spectrum, published in Managerial and Decision Economics. As described in the README file, we provide a separate program for each table and figure. Code and data are provided for the empirical regressions, and code is also provided for Monte Carlo simulations.

Paper abstract: We model open access as facilitating full-text acquisition, which, while often increasing cites, can reduce cites from readers who refrain from citing superficially after realizing the article is not worth citing. We test the theory with data on over 200,000 science articles binned by cites in the pre-study period. Consistent with theory, we find that opening access to an article on the journal’s website has a “Matthew effect” on citations: negative for the least-cited articles, positive for the most cited, and monotonic for quality levels in between. Estimates for broader open-access platforms and for cites coming from insiders versus outsiders also follow patterns consistent with theory.



Funding Sources:  View help for Funding Sources Andrew W. Mellon Foundation; Alfred P. Sloan Foundation

Scope of Project

Subject Terms:  View help for Subject Terms open access; citations; academic journals; science
Geographic Coverage:  View help for Geographic Coverage Global
Time Period(s):  View help for Time Period(s) 1985 – 2005
Data Type(s):  View help for Data Type(s) observational data; program source code
Collection Notes:  View help for Collection Notes
Citations from Thomson ISI (renamed Clarivate Analytics).

Online access and open access status and dates hand collected by authors.


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Published Versions

V1 [2021-04-07]

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