Table 2 Estimated wage regressions
Specification 1 | Specification 2 | |||
|---|---|---|---|---|
Women | Men | Women | Men | |
Constant | 1.781 | 1.749 | 1.772 | 1.724 |
(0.05) | (0.03) | (0.05) | (0.03) | |
Education (reference group: compulsory school) | ||||
Apprenticeship | 0.189 | 0.252 | 0.187 | 0.225 |
(0.01) | (0.01) | (0.01) | (0.01) | |
Secondary school | 0.263 | 0.304 | 0.261 | 0.278 |
(0.01) | (0.01) | (0.01) | (0.01) | |
High school | 0.374 | 0.451 | 0.371 | 0.423 |
(0.01) | (0.01) | (0.01) | (0.01) | |
Craftsmen diploma | 0.236 | 0.303 | 0.233 | 0.278 |
(0.06) | (0.01) | (0.06) | (0.01) | |
Technical college | 0.429 | 0.462 | 0.425 | 0.445 |
(0.02) | (0.02) | (0.02) | (0.02) | |
University (Bachelor, Master, MBA) | 0.539 | 0.614 | 0.534 | 0.595 |
(0.02) | (0.02) | (0.02) | (0.02) | |
University (PhD) | 0.638 | 0.672 | 0.625 | 0.649 |
(0.04) | (0.03) | (0.04) | (0.03) | |
Experience | 0.047 | 0.049 | 0.048 | 0.056 |
(0.00) | (0.00) | (0.00) | (0.00) | |
Experience squared × 100 | −0.092 | −0.098 | −0.095 | −0.111 |
(0.01) | (0.00) | (0.01) | (0.00) | |
Tenure | 0.009 | 0.009 | 0.008 | 0.007 |
(0.00) | (0.00) | (0.00) | (0.00) | |
Tenure squared × 100 | −0.003 | 0.008 | −0.001 | 0.012 |
(0.01) | (0.00) | (0.01) | (0.00) | |
Length of interruptions | −0.002 | 0.007 | ||
(0.01) | (0.01) | |||
Length of interruptions × 100 | 0.046 | −0.225 | ||
(0.09) | (0.09) | |||
Time unemployed | −0.001 | −0.021 | ||
(0.01) | (0.00) | |||
Time out of labor force | 0.016 | 0.010 | ||
(0.00) | (0.00) | |||
Length of maternity leave | −0.009 | −0.094 | ||
(0.00) | (0.05) | |||
Time in military | 0.369 | 0.221 | ||
(0.43) | (0.02) | |||
Time sick | −0.043 | −0.047 | ||
(0.03) | (0.02) | |||
Married | 0.004 | 0.050 | 0.007 | 0.058 |
(0.01) | (0.01) | (0.01) | (0.01) | |
Citizenship (reference group: others) | ||||
Austria | −0.038 | −0.026 | −0.038 | −0.042 |
(0.02) | (0.01) | (0.02) | (0.01) | |
EU15 | 0.100 | 0.098 | 0.103 | 0.112 |
(0.03) | (0.03) | (0.03) | (0.03) | |
Population density (reference group: high) | ||||
Medium | −0.023 | −0.004 | −0.023 | −0.006 |
(0.01) | (0.01) | (0.01) | (0.01) | |
Low | −0.035 | −0.013 | −0.035 | −0.016 |
(0.01) | (0.01) | (0.01) | (0.01) | |
Worker status (reference group: white collar) | ||||
Blue collar worker | −0.074 | −0.078 | −0.074 | −0.077 |
(0.01) | (0.01) | (0.01) | (0.01) | |
Civil servants | 0.008 | −0.009 | 0.007 | −0.015 |
(0.02) | (0.01) | (0.02) | (0.01) | |
Other public sector employees | −0.069 | −0.110 | −0.068 | −0.111 |
(0.02) | (0.02) | (0.02) | (0.02) | |
Executive position | 0.090 | 0.086 | 0.091 | 0.086 |
(0.02) | (0.01) | (0.02) | (0.01) | |
Average age in the firm | 0.003 | 0.004 | 0.004 | 0.004 |
(0.00) | (0.00) | (0.00) | (0.00) | |
Ratio female to male workers in the firm | −0.165 | −0.170 | −0.163 | −0.160 |
(0.02) | (0.02) | (0.02) | (0.02) | |
Worker turnover in the firm | −0.000 | −0.000 | −0.000 | −0.000 |
(0.00) | (0.00) | (0.00) | (0.00) | |
Number of observations | 6,064 | 11,698 | 6,064 | 11,698 |
Adjusted R-squared | 0.64 | 0.61 | 0.64 | 0.61 |