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Table 2 Random effects estimations—dependent variable: average cantonal requirements profile in chosen VET occupations, using alternative academic education rate as explanatory variable

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

Variables (1) (2)
Without industry controls With industry controls
Alternative academic education rate − 0.335 − 0.469
(1.707) (2.211)
Percentage of immigrants 2.644 − 1.207
(2.246) (4.012)
Percentage of school-based VET (entries) 2.275*** 3.406***
(0.881) (0.973)
Percentage of graduates from compulsory school 57.74 11.53
(77.63) (106.0)
Percentage of employees in agriculture   1.490
  (17.45)
Percentage of employees in production   0.241
  (10.22)
Percentage of employees in other services   − 5.560
  (10.60)
Percentage of employees in construction   − 7.557
  (13.56)
Percentage of employees in retail   12.02
  (11.33)
Percentage of employees in financial services and insurance   16.26
  (11.60)
Percentage of employees in public administration and education   − 0.649
  (15.83)
Constant 35.24*** 36.41***
(1.279) (9.042)
Language region Yes Yes
Percentage of imputed values Yes Yes
Year dummies Yes Yes
Observations 182 156
R2 0.269 0.287
Number of cantons 26 26
  1. This table shows coefficients from 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
  2. We additionally tested these regressions with FE models, with very similar results