Analysing global professional gender gaps using LinkedIn advertising data

EPJ Data Science

Table 5 Regression coefficients for model predicting ILO GGIs (variables selected using lasso regression and λmin parameter)

	Dependent variable:
	ILO professional GGI	ILO total management GGI	ILO senior/middle management GGI
Intercept	0.39	0.31	0.21
LinkedIn overall GGI	0.01
Job seniority
Senior	0.59
Director		0.32
Manager		0.09
Vice President (VP)			0.46
Company industry
Accommodation and food service activities			0.19
Information and communication			−0.16
λ	0.02	0.02	0.02
N	159	143	54
N (obs)	174	144	65
N (pred)	209	177	123
RMSE	0.23	0.29	0.14
adj. \(R^{2}\)	0.55	0.14	0.42
5-fold CV
CV \(R^{2}\)	0.56	0.16	0.35
MAE	0.17	0.20	0.13
RMSE	0.23	0.29	0.16