Statistical Uncertainty in the Ranking of Journals and Universities

Magne Mogstad, Joseph Romano, Azeem Shaikh and Daniel Wilhelm

AEA Papers and Proceedings, 2022, vol. 112, 630-34

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.

JEL-codes: A14 I23 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)

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DOI: 10.1257/pandp.20221064

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