Table 1 Regression results. Inverse Gaussian model for explaining productivity by gender, discipline and textual features extracted from dissertation text

−0.1839^∗∗∗

(0.038)

−0.1218∗

−0.0943

−0.1544

(0.058)

(0.086)

(0.079)

−0.0032

0.0420

−0.0318

(0.063)

(0.123)

(0.077)

0.2468^∗∗∗

0.1171

0.2623^∗∗∗

(0.057)

(0.104)

(0.069)

−0.3968^∗∗∗

−0.3907^∗∗∗

−0.4404^∗∗∗

(0.048)

(0.066)

(0.073)

−0.0375

−0.0426

−0.0566

(0.047)

(0.073)

(0.061)

0.0044^∗

−0.0011

0.0071^∗

(0.002)

(0.003)

(0.003)

0.0004

0.0044

−0.0027

(0.004)

(0.006)

(0.005)

0.0037

0.0029

0.0073

(0.003)

(0.005)

(0.005)

0.0018

−0.0024

0.0048

(0.002)

(0.003)

(0.003)

0.0032

−0.0506

0.0083

(0.210)

(0.040)

(0.025)

2.1818^∗∗∗

2.0914^∗∗∗

2.2291^∗∗∗

(0.210)

(0.329)

(0.276)