Administrative discretion in scientific funding: Evidence from a prestigious postdoctoral training program✰
Donna Ginther and
Misty Heggeness
Research Policy, 2020, vol. 49, issue 4
Abstract:
The scientific community is engaged in an active debate on the value of its peer-review system. Does peer review actually serve the role we envision for it—that of helping government agencies predict what ideas have the best chance of contributing to scientific advancement? Many federal agencies use a two-step review process that includes programmatic discretion in selecting awards. This process allows us to determine whether success in a future independent scientific-research career is more accurately predicted by peer-review recommendations or discretion by program staff and institute leaders. Using data from a prestigious training program at the National Institute of Health (NIH), the Ruth L. Kirschstein National Research Service Award (NRSA), we provide evidence on the efficacy of peer review. We find that, despite all current claims to the contrary, the existing peer-review system works as intended. It more closely predicts high-quality science and future research independence than discretion. We discover also that regression discontinuity, the econometric method typically used to examine the effect of scientific funding, does not fit many scientific-funding models and should only be used with caution when studying federal awards for science.
Keywords: Peer review; Scientific funding; Biomedical workforce; Innovation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0048733320300330
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:49:y:2020:i:4:s0048733320300330
DOI: 10.1016/j.respol.2020.103953
Access Statistics for this article
Research Policy is currently edited by M. Bell, B. Martin, W.E. Steinmueller, A. Arora, M. Callon, M. Kenney, S. Kuhlmann, Keun Lee and F. Murray
More articles in Research Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().