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Empirical Research in Vocational Education and Training

Table 3 Random Effects estimations: Overall success rates in VET and success rates in dual VET

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

Variables

(1)

(2)

Overall success rate in VET

Success rate in dual VET

Academic education rate

− 0.227**

− 0.218**

(0.0941)

(0.105)

Percentage of immigrants

− 0.304***

− 0.310***

(0.0675)

(0.0781)

Percentage of school-based VET (stock)

− 0.0325

− 0.0435

(0.0366)

(0.0410)

Percentage of graduates from compulsory school

0.732

2.474

(3.161)

(3.566)

Constant

1.011***

0.989***

(0.0430)

(0.0483)

Year dummies

Yes

Yes

Observations

182

182

Number of cantons

26

26

  1. This table shows coefficients from a random effects regression. Significance levels: *** p < 0.01, ** p < 0.05, * p < 0.1
  2. To show that the results are not driven by outliers, two different bivariate illustrations of the relationships between the overall success rate in VET and the academic education rate, as well as between the success rate in dual VET and the academic education rate appear in the Appendix A, Figs. 5 and 6
  3. We also tested, if the average cantonal requirements profile in VET is associated with the overall success rate in VET and the success rate in dual VET (same specifications as Table 3, column 1 and column 2). A direct relationship between the two variables is not ex ante clear, because a constant average cantonal requirements profile would only point into the direction of more mismatches between students’ ability and requirements of the occupation that as a consequence translate into a lower success rate in VET. As the relationship is not significant and very small in size, we do not show it in Table 3
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