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Table 5 Description of individual characteristics

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

Characteristics

1999

2002

Mean

Standard Deviation

Mean

Standard Deviation

Sex (1= female)

28.87

0.45

27.00

0.44

Nationality (1= foreign)

7.39

0.26

7.92

0.27

Age in years1

    

25–34

32.05

–/–

27.53

–/–

35–44

41.06

–/–

43.45

–/–

45–52

26.89

–/–

29.01

–/–

Highest education level1

No vocational training

12.24

–/–

11.91

–/–

Secondary school and vocational training

71.03

–/–

68.99

–/–

Advanced secondary school and vocational training

4.01

–/–

5.46

–/–

University degree

12.71

–/–

13.63

–/–

Job position1

Unskilled blue-collar

25.68

–/–

24.20

–/–

Skilled blue-collar

29.19

–/–

29.87

–/–

Master craftsman

1.71

–/–

1.65

–/–

White-collar

43.42

–/–

44.29

–/–

Previous employment state1

Share of employment

0.32

–/–

0.33

–/–

Share of unemployment

0.05

–/–

0.04

–/–

Share of nonemployment

0.07

–/–

0.08

–/–

First employment

0.03

–/–

0.02

–/–

Permanently employed

0.53

–/–

0.53

–/–

Cohorts1

Entrance at most 1 year ago

16.99

–/–

16.07

–/–

Entrance 1–5 years ago

25.00

–/–

27.10

–/–

Entrance more than 5 years ago

58.01

–/–

56.82

–/–

Number of observations

370,779

363,339

  1. 1 Percentages do not add up to exactly 100 due to imprecise rounding off.
  2. Source: Linked Employer–Employee Data (LIAB); own calculations