Table 13. Gender effects in Technical...

Table 13.

Gender effects in Technical Score (linear regression)

	Phase I			Phase II
	(1)	(2)	(3)	(4)	(5)	(6)
PI gender	−1.26** (0.55)	−1.87** (0.91)	−2.62*** (0.78)	−1.66** (0.85)	−2.32* (1.32)	−2.97** (1.44)
History		0.04 (0.03)			0.07* (0.04)
PI gender $\times$ history		0.06 (0.06)			0.06 (0.09)
PI applications			−0.06 (0.07)			0.22 (0.31)
PI gender $\times$ applications			0.45*** (0.15)			0.84 (0.68)
Year fixed effects	Yes	Yes	Yes	Yes	Yes	Yes
Controls	Yes	Yes	Yes	Yes	Yes	Yes
Observations	8097	8097	8097	1657	1657	1657
PIs	3501	3501	3501	1118	1118	1118
Adj. $R^{2}$	0.05	0.05	0.05	0.10	0.10	0.09

	Phase I			Phase II
	(1)	(2)	(3)	(4)	(5)	(6)
PI gender	−1.26** (0.55)	−1.87** (0.91)	−2.62*** (0.78)	−1.66** (0.85)	−2.32* (1.32)	−2.97** (1.44)
History		0.04 (0.03)			0.07* (0.04)
PI gender $\times$ history		0.06 (0.06)			0.06 (0.09)
PI applications			−0.06 (0.07)			0.22 (0.31)
PI gender $\times$ applications			0.45*** (0.15)			0.84 (0.68)
Year fixed effects	Yes	Yes	Yes	Yes	Yes	Yes
Controls	Yes	Yes	Yes	Yes	Yes	Yes
Observations	8097	8097	8097	1657	1657	1657
PIs	3501	3501	3501	1118	1118	1118
Adj. $R^{2}$	0.05	0.05	0.05	0.10	0.10	0.09

Note(s):

***p < 0.01; **p < 0.05; *p < 0.1. Technical Scores are estimated with linear regressions. Data are drawn from NASA SBIR/STTR proposal database from 2009–2016. Observations with male PIs are weighted by an entropy balancing algorithm. PI gender is set to one for female PIs. Controls include patents, headcount, and reviewing Center. History indicates the number of years since the proposing firm’s first award from the NASA SBIR/STTR programs. Applications indicate the number of proposals by the PI in the proposal database. Standard errors are estimated by clustering by PI

[ViewLarge]

Sharing Unavailable