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Table 6 Fixed-effects-regression models on hourly (log-transformed) wage.

From: Frequency of employer changes and their financial return: gender differences amongst German university graduates

(log.) hourly wage

Model 1a

Model 1b

Model 2a

Model 2b

1st Employer

(Reference)

(Reference)

(Reference)

(Reference)

2nd Employer

0.315***

0.227***

5.563***

4.018***

3rd Employer

0.524***

0.360***

9.328***

6.341***

4th Employer

0.738***

0.530***

12.364***

8.545***

5th Employer

0.604

0.412

10.086*

6.809

1st Employer*male

(Reference)

(Reference)

(Reference)

(Reference)

2nd Employer*male

0.031

0.011

2.145***

1.579**

3rd Employer*male

0.064

0.047

4.520***

3.949***

4th Employer*male

0.064

0.038

4.917**

4.160*

5th Employer*male

0.260

0.169

8.831

6.158

Occupational sector

 1: BIC

 

− 0.089*

 

− 3.233***

 2: Manufacturing

 

(Reference)

 

(Reference)

 3: Services

 

− 0.075**

 

− 1.792***

 4: Media et al.a

 

− 0.140***

 

− 3.029***

 Years of experience

 

0.011***

 

0.193***

 Years of experiencea *100

 

0.021

 

0.031

Firm size (employees)

 Small (< 100)

 

− 0.043

 

− 0.585

 Medium (100–499)

 

(Reference)

 

(Reference)

 Large (≥ 500)

 

0.029

 

1.102*

Executive position

 

0.161***

 

3.600***

Public sector

 

0.050*

 

0.209

Permanent contract

 

0.129***

 

1.249**

Multinat. company

 

0.056*

 

1.007**

Constant

2.834***

2.685***

17.987***

16.217***

  1. BIC banks, insurances, consulting
  2. N: 146,817; * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0. 0 01
  3. aMedia et al.: Media, education, associations; Models 1a and 1b use log-transformed gross hourly wage as the dependent variable, models 2a and 2b use untransformed gross hourly wage