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Table 7 Oaxaca-Blinder decompositions of the gender earnings gap for self-employed and paid employees (characteristics effects) a

From: Why is there a gender earnings gap in self-employment? A decomposition analysis with German data

dependent variable: logarithm of gross monthly earnings

Self-employed (N = 1,387)

Paid employees (N = 13,981)

log points

share of total gap (in percent)

share of explained gap (in percent)

log points

share of total gap (in percent)

share of explained gap (in percent)

Reference group: men

Gender earnings gap

0.71*** (0.05)

  

0.51*** (0.01)

  

Explained

0.36*** (0.05)

50.0

 

0.36*** (0.01)

70.7

 

Human capital

0.10*** (0.03)

14.6

29.3

0.03*** (0.005)

6.5

9.1

Family-work balance & hours

0.16*** (0.03)

22.1

44.3

0.25*** (0.01)

49.3

69.7

Thereof:

 Working hours

0.17** (0.03)

23.1

46.3

0.25*** (0.01)

49.4

69.8

Segregation

0.09*** (0.03)

12.7

25.5

0.07*** (0.01)

14.3

20.2

Control variables

0.004 (0.01)

0.5

1.0

0.003* (0.002)

0.7

0.9

Reference group: women

Gender earnings gap

0.71*** (0.05)

  

0.51*** (0.01)

  

Explained

0.37*** (0.06)

52.3

 

0.37*** (0.01)

73.0

 

Human capital

0.10*** (0.03)

14.2

27.1

0.03*** (0.004)

5.5

7.5

Family-work balance & hours

0.23*** (0.04)

31.7

60.7

0.28*** (0.01)

54.9

75.3

Thereof:

 Working hours

0.25*** (0.04)

34.8

66.7

0.29*** (0.01)

55.8

76.4

Segregation

0.04 (0.05)

6.0

11.5

0.06*** (0.01)

12.0

16.5

Control variables

0.003 (0.01)

0.4

0.7

0.003* (0.001)

0.5

0.7

  1. a The data set used is the BIBB/BAuA Employment Survey 2006. Robust standard errors in brackets. */**/*** indicates statistical significance at the 10/5/1% level. Control variables are: migration background, disability status, place of residence.