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Measuring Science: Performance Metrics and the Allocation of Talent

Measuring Science: Performance Metrics and the Allocation of Talent

698/2023 Sebastian Hager, Carlo Schwarz and Fabian Waldinger
economic history, working papers
The Social Science Research Network
https://dx.doi.org/10.2139/ssrn.4472441

698/2023 Sebastian Hager, Carlo Schwarz and Fabian Waldinger

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.

Economic History

The Social Science Research Network

https://dx.doi.org/10.2139/ssrn.4472441