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Table 4 Variance composition of match categories in intercept-only models. (Source: BIBB/BAuA Employment Survey 2006)

From: Educational (Mis)match and skill utilization in Germany: Assessing the role of worker and job characteristicsQualifikatorisches (Mis)matching und die Ausnutzung von fachlichen Kenntnissen und Fähigkeiten von Erwerbstätigen in Deutschland: Zur Bedeutung von Personen- und Arbeitsplatzmerkmalen

 

Overeducation

Educational Match

Undereducation

Overskilling

Skill Match

Underskilling

\(\sigma _{u0j}^2\)

0.971 (0.292)

0.575 (0.172)

1.02 (0.366)

0.295 (0.093)

0.196 (0.063)

0.016 (0.017)

ICC

0.228

0.148

0.236

0.08 2

0.056

0.005

Ni

14,266

14,266

14,266

14,266

14,266

14,266

Nj

25

25

25

25

25

25

  1. ICC = Fraction of total variance in each mismatching category that is due to occupation-level variance (\(\sigma _{u0j}^2\) with s.e. in parentheses)
  2. Sample excludes workers aged 15–24 and 65 + and workers without a vocational degree (for detailed sample definition see Sect. 3.1)