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Table 3 Cross-level effects on the highest education level and the local accumulation of human capital (three-level logistic random intercept models)

From: Employment trajectories in Germany: do firm characteristics and regional disparities matter?Erwerbsverläufe in Deutschland: Zur Bedeutung betrieblicher Charakteristika und regionaler Disparitäten

Independent variables

1999

2002

Exit from job

Interfirm career path

Unemployment

Exit from job

Interfirm career path

Unemployment

Upward mobility

Lateral mobility

Downward mobility

Upward mobility

Lateral mobility

Downward mobility

Cross-level-Effects: Highest education level × Local accumulation of human capital

No vocational training (1 = yes) × Share of students

0.006

0.013

0.009

0.006

0.001

0.005

0.007

0.013

0.014

−0.000

Secondary school and vocational training (1 = yes) × Share of students

−0.004

−0.003

0.005

0.001

−0.002

0.001

0.010

0.005

0.002

−0.002

Advanced secondary school and vocational training (1 = yes) × Share of students

0.007

0.024

0.013

0.004

−0.007

−0.001

0.008

−0.003

0.009

−0.004

University degree (1 = yes) × Share of students

−0.004

0.008

0.009

−0.015

−0.011

−0.006

−0.006

−0.013

−0.006

−0.000

Episodes (persons)

370779

370,779

370,779

370,779

370,779

363,339

363,339

363,339

363,339

363,339

Episodes (firms)

1836

1836

1836

1836

1836

2140

2140

2140

2140

2140

Episodes (regions)

97

97

97

97

97

97

97

97

97

97

  1. Notes: The dependent variables are coded as dummy variables. In the columns 1 and 6 the value 1 represents a job exit; the value 0 denotes that the employee remains in the firm. In the columns 2–5 and 7–10 the value 1 indicates one of the destination states, respectively, whereas the value 0 subsumes all of the other employment states. In each regression the whole sample is used. Regression coefficients are reported after three-level logistic random intercept estimations. Models additionally contain all explanatory variables which are reported in Table 2.
  2. p<0.05; p<0.01; p<0.001
  3. Source: Linked Employer–Employee Data (LIAB); own calculations