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Measuring Science: Performance Metrics and the Allocation of Talent
Sebastian Hager
Carlo Schwarz
Fabian Waldinger
American Economic Review (Forthcoming)
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.