Publication Date:
2011-08-20
Description:
We investigated the association between a U.S. National Institutes of Health (NIH) R01 applicant's self-identified race or ethnicity and the probability of receiving an award by using data from the NIH IMPAC II grant database, the Thomson Reuters Web of Science, and other sources. Although proposals with strong priority scores were equally likely to be funded regardless of race, we find that Asians are 4 percentage points and black or African-American applicants are 13 percentage points less likely to receive NIH investigator-initiated research funding compared with whites. After controlling for the applicant's educational background, country of origin, training, previous research awards, publication record, and employer characteristics, we find that black applicants remain 10 percentage points less likely than whites to be awarded NIH research funding. Our results suggest some leverage points for policy intervention.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412416/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412416/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ginther, Donna K -- Schaffer, Walter T -- Schnell, Joshua -- Masimore, Beth -- Liu, Faye -- Haak, Laurel L -- Kington, Raynard -- 1R01AG36820-01/AG/NIA NIH HHS/ -- HHSN276200800458U/PHS HHS/ -- HHSN276200900100U/PHS HHS/ -- R01 AG036820/AG/NIA NIH HHS/ -- Z99 OD999999/Intramural NIH HHS/ -- New York, N.Y. -- Science. 2011 Aug 19;333(6045):1015-9. doi: 10.1126/science.1196783.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Economics and Center for Science, Technology & Economic Policy, Institute for Policy & Social Research, University of Kansas, Lawrence, KS 66045, USA. dginther@ku.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21852498" target="_blank"〉PubMed〈/a〉
Keywords:
African Americans/statistics & numerical data
;
African Continental Ancestry Group/statistics & numerical data
;
Asian Continental Ancestry Group/statistics & numerical data
;
*Biomedical Research
;
*Continental Population Groups/statistics & numerical data
;
Databases, Factual
;
Education, Graduate
;
*Ethnic Groups/statistics & numerical data
;
European Continental Ancestry Group/statistics & numerical data
;
Fellowships and Scholarships
;
Financing, Government
;
Hispanic Americans/statistics & numerical data
;
Humans
;
Likelihood Functions
;
Models, Statistical
;
National Institutes of Health (U.S.)/*economics
;
Peer Review, Research
;
Publishing
;
*Research Personnel/economics/statistics & numerical data
;
Research Support as Topic/*statistics & numerical data
;
United States
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
Permalink