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Measuring Science: Performance Metrics and the Allocation of Talent

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  • Sebastian Hager
  • Carlo Schwarz
  • Fabian Waldinger

Abstract

We study how performance metrics affect the allocation of talent by exploiting the introduction of the first citation database in science. For technical reasons, it only covered citations from certain journals and years, creating quasi-random variation: some citations became visible, while others remained invisible. We identify the effects of citation metrics by comparing the predictiveness of visible to invisible citations. Citation metrics increased assortative matching between scientists and departments by reducing information frictions over geographic and intellectual distance. Highly cited scientists from lower-ranked departments ("hidden stars") and from minorities benefited more. Citation metrics also affected promotions and NSF grants, suggesting Matthew effects.

Suggested Citation

  • Sebastian Hager & Carlo Schwarz & Fabian Waldinger, 2024. "Measuring Science: Performance Metrics and the Allocation of Talent," American Economic Review, American Economic Association, vol. 114(12), pages 4052-4090, December.
    • Handle: RePEc:aea:aecrev:v:114:y:2024:i:12:p:4052-90
    DOI: 10.1257/aer.20230515
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    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
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

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