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Statistical Uncertainty in the Ranking of Journals and Universities

Mogstad, Magne; Romano, Joseph; Shaikh, Azeem; Wilhelm, Daniel; (2022) Statistical Uncertainty in the Ranking of Journals and Universities. AEA Papers and Proceedings , 112 pp. 630-634. 10.1257/pandp.20221064. Green open access

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Abstract

Economists are obsessed with rankings of institutions, journals, or scholars according to the value of some feature of interest. These rankings are invariably computed using estimates rather than the true values of such features. As a result, there may be considerable uncertainty concerning the ranks. In this paper, we consider the problem of accounting for such uncertainty by constructing confidence sets for the ranks. We consider the problem of constructing marginal confidence sets for the rank of, say, a particular journal as well as simultaneous confidence sets for the ranks of all journals.

Type: Article
Title: Statistical Uncertainty in the Ranking of Journals and Universities
Open access status: An open access version is available from UCL Discovery
DOI: 10.1257/pandp.20221064
Publisher version: https://doi.org/10.1257/pandp.20221064
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Economics
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10143166
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