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Shapley Values for Assessing Research Production and Impact of Schools and Scholars. ESRI WP370, January 2011

Tol, Richard S.J. (2011) Shapley Values for Assessing Research Production and Impact of Schools and Scholars. ESRI WP370, January 2011. [Working Paper]

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    Performance measures of individual scholars tend to ignore the context. I introduce contextualised metrics: cardinal and ordinal pseudo-Shapley values that measure a scholar’s contribution to (perhaps power over) her own school and her market value to other schools should she change job. I illustrate the proposed measures with business scholars and business schools in Ireland. Although conceptually superior, the power indicators imply a ranking of scholars within a school that is identical to the corresponding conventional performance measures. The market value indicators imply an identical ranking within schools and a very similar ranking between schools. The ordinal indices further contextualise performance measures and thus deviate further from the corresponding conventional indicators. As the ordinal measures are discontinuous by construction, a natural classification of scholars emerges. Averaged over schools, the market values offer little extra information over the corresponding production and impact measures. The ordinal power measure indicates the robustness or fragility of an institution’s place in the rank order. It is only weakly correlated with the concentration of publications and citations.

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    Item Type: Working Paper
    Subjects for non-EU documents: EU policies and themes > Policies & related activities > education policy/vocational training
    Subjects for EU documents: UNSPECIFIED
    EU Series and Periodicals: UNSPECIFIED
    EU Annual Reports: UNSPECIFIED
    Series: Series > Economic and Social Research Institute (ESRI), Dublin > ESRI Working Papers
    Depositing User: Alyssa McDonald
    Official EU Document: No
    Language: English
    Date Deposited: 20 Dec 2018 09:30
    Number of Pages: 35
    Last Modified: 20 Dec 2018 09:30

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