The Matthew effect, research productivity, and the dynamic allocation of NIH grants.

Funding is important for research. However, research funding may suffer from the Matthew effect: the more researchers already have, the more they will be given. I develop an empirical framework to study how the National Institutes of Health (NIH) could allocate funding in a dynamically optimal manne...

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Detalles Bibliográficos
Publicado en:RAND Journal of Economics (Wiley-Blackwell) Vol. 54; no. 1; pp. 135 - 165
Autor principal: Qiu, Y. J. Jeff
Formato: Artículo
Publicado: Wiley-Blackwell Mar2023
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Funding is important for research. However, research funding may suffer from the Matthew effect: the more researchers already have, the more they will be given. I develop an empirical framework to study how the National Institutes of Health (NIH) could allocate funding in a dynamically optimal manner by balancing funds between young and veteran principal investigators (PIs). I find that the discount factor that rationalizes NIH's funding behavior is about 0.75, implying it may underfund young PIs. Moreover, a temporary funding cut would have long‐lasting effects on overall research output through its adverse impact on investment in young PIs.