The costs of standardized apprenticeship curricula for training firms

Empirical Research in Vocational Education and Training

Table 9 Descriptive statistics, control variables

	Fraction
Industries (NACE)
NACE A-E	0.168
NACE F	0.171
NACE G-I	0.344
NACE J-L	0.055
NACE M-P	0.156
NACE Q-S	0.105
Greater regions
Lake Geneva	0.187
Espace Mittelland	0.248
Northwestern Switzerland	0.114
Zurich	0.131
Eastern Switzerland	0.156
Central Switzerland	0.123
Ticino	0.040
Occupations
Automotive assistant	0.003
Automotive mechatronics technician	0.016
Automotive technician	0.030
Bricklayer	0.020
Cabinet-maker	0.030
Carpenter	0.016
Construction electrician	0.009
Commercial employee	0.175
Cook	0.023
Dental assistant	0.031
Draughtsman	0.051
Electrician	0.032
Gardener	0.016
Hairdresser	0.019
Information technologist	0.030
Logistics experts	0.022
Medical secretary and assistant	0.026
Painter	0.020
Pharmacy assistant	0.010
Plumber	0.019
Polymechanic technician	0.022
Restaurant specialist	0.007
Retail assistant	0.019
Retail professional	0.127
Specialist in hotel housekeeping	0.003
Social care worker	0.009
Other two year apprenticeships	0.024
Other three year apprenticeships	0.078
Other four year apprenticeships	0.114

All results are weighted with sampling weights. The dummies for competitiveness, efficiency, attractiveness, and digitalisation are all one for firms reporting “very” or “rather” in the question and zero otherwise. The lower number of observations among these dummies stem from missing answers to the respective question. Such missing observations are treated as an own categorical value in the estimations below