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  1. Statistical Uncertainty in the Ranking of Journals and Universities
    Author: Mogstad, Magne; Romano, Joseph P.; Shaikh, Azeem M.; Wilhelm, Daniel
    Published: 2022
    Publisher:  National Bureau of Economic Research, Cambridge, Mass

    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... more

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    Universitätsbibliothek Freiburg
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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    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 both 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. We apply these confidence sets to draw inferences about uncertainty in the ranking of economics journals and universities by impact factors

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: NBER working paper series ; no. w29768
    Subjects: Fachzeitschrift; Hochschule; Zitationsanalyse; Ranking-Verfahren; Ökonomen
    Scope: 1 Online-Ressource, illustrations (black and white)
    Notes:

    Hardcopy version available to institutional subscribers
  2. Statistical uncertainty in the ranking of journals and universities
    Author: Mogstad, Magne; Romano, Joseph P.; Shaikh, Azeem M.; Wilhelm, Daniel
    Published: [2022]
    Publisher:  Cemmap, Centre for Microdata Methuods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    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... more

    Access:
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)
    Resolving-System (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 243
    Inter-library loan:
    No inter-library loan

     

    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 both 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. The purpose of this paper is to review the approach to the construction of such confidence sets by Mogstad et al. (2020) and then apply their methods to rankings of economics journals and universities by impact factors.

     
    Export to reference management software   RIS file
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/260388
    Series: Cemmap working paper ; CWP22, 07
    Subjects: Fachzeitschrift; Hochschule; Zitationsanalyse; Ranking-Verfahren; Ökonomen; Fachzeitschrift; Hochschule; Zitationsanalyse; Ranking-Verfahren; Ökonomen
    Scope: 1 Online-Ressource (circa 15 Seiten), Illustrationen