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Table 7 True maternity leave spells and observable characteristics (preferred sample restrictions)

From: Does the IAB employment sample reliably identify maternity leave taking? A data reportKann die IAB-Beschäftigtenstichprobe benutzt werden, um Erziehungsurlaub verlässlich zu identifizieren? Ein Daten-Report

Panel A: True spells and birth month

 

All

All, 1st spell

West, Germans

West, Germans, 1st spell

West, Foreigners

West, Foreigners, 1st spell

East

1

88.20%

90.96%

88.79%

91.34%

81.90%

89.61%

83.33%

2

87.96%

91.43%

88.96%

92.11%

76.45%

86.49%

84.78%

3

89.04%

91.58%

89.80%

92.48%

81.45%

84.06%

81.48%

4

88.05%

89.62%

88.94%

90.47%

81.95%

87.18%

73.47%

5

86.05%

89.18%

87.15%

90.04%

76.56%

86.59%

75.41%

6

88.08%

89.53%

88.73%

90.25%

86.13%

88.30%

67.50%

7

89.55%

91.59%

90.14%

92.20%

80.00%

83.05%

89.83%

8

89.45%

90.91%

90.39%

92.11%

83.85%

86.67%

68.63%

9

90.69%

92.69%

91.77%

93.93%

84.00%

87.78%

71.15%

10

90.08%

92.77%

90.37%

92.89%

87.39%

94.59%

87.23%

11

86.75%

89.73%

87.98%

90.20%

75.78%

89.39%

75.00%

12

88.01%

89.40%

88.07%

90.24%

74.80%

80.49%

77.27%

N

22.397

15.277

20.308

13.752

1.483

935

601

p-value

0.076

0.088

0.103

0.097

0.149

0.384

0.115

Panel B: Other observable pre-birth characteristics

 

All

All, 1st spell

West, Germans

West, Germans, 1st spell

West, Foreigners

West, Foreigners, 1st spell

East

East

−0.115

−0.097

     
 

(0.016)

(0.016)

     

Foreign

0.000

0.016

     
 

(0.010)

(0.012)

     

Medium-skilled

0.072

0.045

0.075

0.048

0.027

0.022

0.076

 

(0.007)

(0.008)

(0.007)

(0.008)

(0.020)

(0.023)

(0.063)

High-skilled

0.127

0.075

0.130

0.077

0.150

0.133

0.052

 

(0.012)

(0.014)

(0.013)

(0.014)

(0.057)

(0.053)

(0.084)

Log-wage

0.011

0.038

0.014

0.042

–0.018

–0.004

–0.043

 

(0.006)

(0.007)

(0.006)

(0.008)

(0.024)

(0.028)

(0.047)

Age

0.146

0.138

0.147

0.136

0.120

0.095

0.185

 

(0.006)

(0.008)

(0.007)

(0.008)

(0.019)

(0.024)

(0.032)

Age2

–0.003

–0.003

–0.003

–0.003

–0.002

–0.002

–0.004

 

(0.000)

0.000

0.000

(0.000)

(0.000)

(0.000)

(0.001)

Full-time

0.025

–0.001

0.022

–0.003

0.079

0.052

–0.071

 

(0.006)

(0.008)

(0.007)

(0.009)

(0.027)

(0.033)

(0.042)

2nd spell

–0.021

 

–0.021

 

–0.043

 

–0.085

 

(0.005)

 

(0.006)

 

(0.025)

 

(0.102)

3rd spell

–0.090

 

–0.083

 

–0.180

  
 

(0.012)

 

(0.013)

 

(0.042)

  

4th spell

–0.240

 

–0.224

 

–0.319

  
 

(0.030)

 

(0.034)

 

(0.065)

  

N

22,219

15,137

20,226

13,692

1,400

868

588

  1. Note: Panel A displays the share of leave spells in the IABS that can be linked to childbirth in the Pension Register by month of birth (in the IABS data), after imposing the preferred restrictions. The last row reports the p-value for the hypothesis that the birth month dummies in a linear probability model are jointly equal to zero. Panel B reports results from linear probability models where the dependent variable is equal to 1 if the leave spell in the IABS is due to childbirth. The findings are based on Sample B. Robust standard errors in parentheses.