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. Author manuscript; available in PMC: 2021 May 1.
Published in final edited form as: Res Policy. 2020 Mar 14;49(4):103953. doi: 10.1016/j.respol.2020.103953

TABLE 3.

PROPENSITY SCORE MATCHING (PSM) ESTIMATES OF THE IMPACT ON OUTCOMES BY COMPARATIVE FUNDING-STATUS TYPES

VARIABLES Number RPG Awards Number RPG Applications Probability RPG Probability R01 Never RPG
Reach vs. Not Funded 0.174*** 0.801*** 0.071*** 0.078*** −0.119***
  N = 5,215 [0.043] [0.167] [0.017] [0.015] [0.018]
Reach vs. In Order −0.096* −0.495** −0.050** −0.038* 0.063**
  N = 9,062 [0.048] [0.183] [0.018] [0.016] [0.019]
Reach vs. Skip −0.176** −0.333 −0.051** −0.047** 0.025
  N=2,538 [0.063] [0.220] [0.019] [0.017] [0.022]
Skip vs. Not Funded 0.243*** 0.655*** 0.085*** 0.083*** −0.083***
  N=5,211 [0.053] [0.181] [0.019] [0.016] [0.021]
Skip vs. In Order −0.047 −0.342* −0.051** −0.025 0.069***
  N=9,058 [0.048] [0.165] [0.016] [0.014] [0.019]
In Order vs. Not Funded 0.246*** 0.983*** 0.106*** 0.086*** −0.140***
  N = 11.735 [0.034] [0.153] [0.012] [0.010] [0.014]

Note: Robust Standard errors in brackets.

***

p<0.001,

**

p<0.01,

*

p<0.05

Source: Authors’ calculations. IMPACII andNIH/NSF Survey of Earned Doctorates, 1996 to 2008.