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Statistical Uncertainty in the Ranking of Journals and Universities

Author

Listed:
  • Magne Mogstad
  • Joseph Romano
  • Azeem Shaikh
  • Daniel Wilhelm

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.

Suggested Citation

  • Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2022. "Statistical Uncertainty in the Ranking of Journals and Universities," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 630-634, May.
    • Handle: RePEc:aea:apandp:v:112:y:2022:p:630-34
    DOI: 10.1257/pandp.20221064
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    Cited by:

    1. Johannes König & David I. Stern & Richard S.J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Tinbergen Institute Discussion Papers 22-038/III, Tinbergen Institute.

    More about this item

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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