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Table 6 OLS hourly earnings regressions, men and women separately a

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

dependent variable: logarithm of gross hourly earnings

Self-employed

Paid employees

male

female

male

female

Formal education (reference: no vocational degree)

No vocational degree & FHR/Abitur (dummy)

−0.075 (0.184)

−0.062 (0.274)

0.079* (0.042)

−0.068* (0.040)

Vocational training (dummy)

0.043 (0.154)

−0.029 (0.212)

0.157*** (0.023)

0.047** (0.023)

Vocational training & FHR/Abitur (dummy)

−0.020 (0.165)

0.159 (0.234)

0.200*** (0.028)

0.110*** (0.026)

Vocational college (“Fachschule”) (dummy)

−0.011 (0.159)

0.202 (0.251)

0.198*** (0.027)

0.115*** (0.032)

University or university of applied science (dummy)

0.065 (0.161)

0.254 (0.227)

0.360*** (0.027)

0.201*** (0.026)

Working experience (in years)

0.004 (0.007)

−0.001 (0.016)

0.026*** (0.002)

0.022*** (0.002)

Working experience squared

−0.00004 (0.0001)

0.0001 (0.0003)

−0.0004*** (0.00004)

−0.0003*** (0.00004)

Working intermissions (in years)

−0.049** (0.021)

−0.010 (0.017)

−0.021*** (0.004)

−0.015*** (0.003)

Working intermissions squared

0.001 (0.002)

−0.00003 (0.001)

0.001*** (0.0002)

0.0004*** (0.0001)

Tenure at current job (in years)

0.026*** (0.008)

0.038*** (0.013)

0.016*** (0.002)

0.017*** (0.002)

Tenure at current job squared

−0.0005** (0.0002)

−0.001 (0.0004)

−0.0004*** (0.0001)

−0.0004*** (0.0001)

Number of changes of profession

−0.022* (0.011)

−0.017 (0.023)

−0.008*** (0.002)

−0.014*** (0.003)

working time flexibility (reference: never)

Sometimes (dummy)

0.057 (0.084)

0.327** (0.159)

0.053*** (0.018)

0.071*** (0.020)

Often (dummy)

0.199** (0.085)

0.459*** (0.152)

0.094*** (0.018)

0.086*** (0.020)

Family background (reference: single and no young children)

Life partner (dummy)

0.119** (0.052)

−0.119 (0.080)

0.051*** (0.009)

0.002 (0.009)

Young children (dummy)

0.717 (0.502)

−0.765* (0.448)

0.071 (0.092)

0.042 (0.032)

Life partner and young children (interaction effect)

−0.662 (0.507)

0.932** (0.464)

−0.031 (0.093)

−0.031 (0.036)

High career aspirations (dummy)

0.024 (0.044)

0.012 (0.080)

−0.012 (0.009)

−0.017* (0.009)

Professional field (54 dummies)

Yes***

Yes***

Yes***

Yes***

Tasks occurring at work (17 dummies)

Yes***

Yes***

Yes***

Yes***

Firm size (reference: 5–9 employees)

1 employee (dummy)

−0.014 (0.067)

−0.093 (0.147)

0.133* (0.076)

−0.129 (0.081)

2 employees (dummy)

−0.076 (0.079)

0.017 (0.166)

−0.023 (0.054)

−0.084* (0.050)

3-4 employees (dummy)

−0.055 (0.076)

0.134 (0.159)

0.027 (0.032)

−0.027 (0.023)

10-19 employees (dummy)

0.079 (0.089)

0.042 (0.181)

0.051** (0.022)

0.045** (0.018)

20-49 employees (dummy)

0.236** (0.113)

−0.043 (0.234)

0.102*** (0.021)

0.076*** (0.017)

50-99 employees (dummy)

0.157 (0.222)

−0.471* (0.262)

0.104*** (0.022)

0.104*** (0.018)

100 employees and more (dummy)

0.405* (0.213)

−0.184 (0.281)

0.207*** (0.020)

0.183*** (0.016)

Constant

1.921*** (0.284)

0.863 (0.536)

1.673*** (0.059)

1.620*** (0.076)

Number of observations

974

497

7,094

6,887

R2

0.38

0.41

0.48

0.47

  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. Additional control variables included are: migration background (1 dummy), disability status (3 dummies) and place of residence (16 “Bundesländer” dummies). “Abitur” is the German university entrance qualification, “FHR” (“Fachhochschulreife”) the German university of applied science entrance qualification. Working time flexibility was measured by the frequency at which interviewees were able to take family and private interests into account when scheduling working time. The number of employees reported in the firm size variable includes the owner of the firm.