Gender Segregation and Gender Wage Differences during the Early ...

Table A.8: Pooled wage regression, OLS
(1) (2) (3) (4)
Coef. (S.E) Coef. (S.E) Coef. (S.E) Coef. (S.E)
Female -0.128* (0.001) -0.143* (0.001) -0.141* (0.001) -0.136* (0.001)
Medium-skilled 0.182* (0.002) 0.134* (0.002) 0.131* (0.002) 0.129* (0.002)
High-skilled 0.461* (0.002) 0.405* (0.002) 0.415* (0.002) 0.416* (0.002)
FT exp 0.005* (0.000) 0.006* (0.000) 0.006* (0.000)
FT exp 2 (x100) -0.002* (0.000) -0.003* (0.000) -0.002* (0.000)
Non-empl. spell -0.078* (0.001) -0.064* (0.001) -0.049* (0.001)
Occ. change 0.011* (0.001) 0.016* (0.001)
Firm change -0.085* (0.001) -0.098* (0.001)
Interaction with female dummy
Non-empl. spell -0.057* (0.002)
Occ. change -0.013* (0.002)
Firm change -0.035* (0.002)
No. of obs. 497,183 497,183 497,183 497,183
Source: Author’s calculations, based on LIAB 1993-2007.
Note: Dependent variable is the log real daily wage. All regressions include the year dummies as
well as the covariates as indicated. *: statistically significant at least at the 5%-level.
Table A.9: Wage regression, fixed effects models
(1) (2) (3) (4)
Coef. (S.E) Coef. (S.E) Coef. (S.E) Coef. (S.E)
OLS -0.128* (0.001) -0.143* (0.001) -0.141* (0.001) -0.136* (0.001)
Industry FE -0.085* (0.001) -0.098* (0.001) -0.098* (0.001) -0.089* (0.001)
Occupation FE -0.083* (0.001) -0.093* (0.001) -0.092* (0.001) -0.083* (0.001)
Establishment FE -0.064* (0.001) -0.074* (0.001) -0.075* (0.001) -0.068* (0.001)
Job-cell FE -0.051* (0.001) -0.059* (0.001) -0.060* (0.001) -0.052* (0.001)
Source: Author’s calculations, based on LIAB 1993-2007.
Note: Dependent variable is the log real daily wage. Each cell corresponds to a different regression.
Numbers shown are the coefficients on the female dummy variable which result from estimating the
different specifications displayed in Table A.8. *: statistically significant at least at the 5%-level.
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