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Table 5 Robustness check: dependent variable split up by the four different types of the academic requirements profile

From: Brain drain from vocational to academic education at upper-secondary level? An empirical analysis for Switzerland

Variables (1) (2) (3) (4)
Without industry controls Without industry controls With industry controls With industry controls
Academic education rate − 0.832   0.503  
(2.141)   (2.258)  
Alternative academic education rate   0.273   0.387
  (1.661)   (2.033)
Percentage of immigrants − 2.645 − 2.910 − 4.374 − 4.371
(2.572) (2.580) (3.697) (3.695)
Percentage of full-time schooling VET (entries) 6.493*** 6.459*** 6.863*** 6.856***
(0.789) (0.797) (0.811) (0.815)
Percentage of graduates from compulsory school − 97.49 − 99.05 − 117.5 − 116.2
(75.47) (75.48) (97.17) (97.02)
Percentage of employees in Agriculture    12.20 12.05
   (16.22) (16.10)
Percentage of employees in production    6.961 6.932
   (9.444) (9.427)
Percentage of employees in other services    1.166 1.216
   (9.797) (9.783)
Percentage of employees in construction    9.563 9.784
   (12.49) (12.48)
Percentage of employees in retail    25.08** 25.02**
   (10.41) (10.39)
Percentage of employees in financial services and insurances    21.26** 21.20**
   (10.72) (10.70)
Percentage of employees in public administration and education    − 1.648 − 1.438
   (14.58) (14.58)
Constant 35.08*** 34.91*** 28.96*** 28.93***
(1.325) (1.300) (8.331) (8.331)
Type of academic requirements profile (language, foreign languages, science) Yes Yes Yes Yes
Language region dummy Yes Yes Yes Yes
Year dummies Yes Yes Yes Yes
Observations 728 728 624 624
R2 0.156 0.156 0.198 0.198
Number of observations per year 104 104 104 104
  1. This table shows coefficients of a random effects regression. Standard errors in parentheses. Significance levels: *** p < 0.01, ** p < 0.05, * p < 0.1. The reference category for the share of employees in the different sectors is the health sector and for the type of academic requirements profiles is mathematics