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.
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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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