The Matthew effect, research productivity, and the dynamic allocation of NIH grants
研究了美国国立卫生研究院在年轻与资深研究者之间动态分配资助时存在的马太效应，发现其折现因子约为0.75，可能对年轻研究者资助不足，且临时削减资助会通过影响对年轻研究者的投入而长期损害总研究产出。
Abstract 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.