6
our data set by considering all variables statistically and economically significant in explaining the
wage gap (Tab. 2-9).
Table 2. OLS estimation results of the earnings equation for employees (male and female samples)
|
Variable |
Earnings equation (employees) | |||
|
Female |
Male | |||
|
Coefficient |
T-value |
Coefficient |
T-value | |
|
CONSTANT |
6.451078 |
80.249 |
6.516929 |
89.401 |
|
Educational performance___________________ |
0.000950 |
4.031 |
0.001423 |
5.301 |
|
lambda________________________________ |
0.383831 |
6.319 |
0.414517 |
7.583 |
|
experience________________________________ |
-0.036356 |
-6.557 |
0.016100 |
1.465 |
|
experience2_______________________________ |
0.004010 |
5.722 |
-0.001348 |
-1.141 |
|
Sciences________________________________ |
0.189980 |
4.621 |
0.075470 |
2.594 |
|
Pharmacy____________________________ |
0.290410 |
6.725 |
0.150891 |
5.120 |
|
Natural sciences____________________________ |
0.130703 |
3.820 |
0.062717 |
1.939 |
|
Engineering_______________________________ |
0.360510 |
7.515 |
0.253378 |
7.238 |
|
Architecture___________________________________ |
0.183003 |
3.857 |
0.121772 |
3.219 |
|
Agricultural studies___________________________ |
0.138144 |
3.090 |
0.058937 |
1.561 |
|
Economics, business and statistics___________ |
0.246893 |
6.207 |
0.168118 |
5.653 |
|
Political sciences and sociology______________ |
0.203020 |
4.692 |
0.074503 |
2.384 |
|
Law________________________________ |
0.075950 |
2.721 |
0.042657 |
1.507 |
|
Humanities________________________________ |
0.131889 |
3.114 |
-0.077757 |
-2.105 |
|
Foreign languages_________________________ |
0.162961 |
3.879 |
0.016601 |
0.391 |
|
Teachers college__________________________ |
0.111559 |
2.432 |
0.056077 |
1.162 |
|
Psychology______________________________ |
0.082282 |
1.645 |
0.043418 |
0.979 |
|
Hours worked (Q2 21)____________________ |
0.008788 |
8.024 |
0.007432 |
6.449 |
|
University of North____________________________ |
-0.052636 |
-3.973 |
-0.011993 |
-0.804 |
|
University of Center_________________________ |
-0.010915 |
-0.766 |
0.043994 |
2.943 |
|
d Liceo_____________________________________ |
-0.017863 |
-1.904 |
0.002172 |
0.235 |
|
d Previously entered another degree course |
0.005927 |
0.490 |
0.012281 |
0.894 |
|
d Studied in the hometown__________________ |
0.000538 |
0.068 |
0.003824 |
0.440 |
|
d Moved to attend university_________________ |
0.034356 |
3.784 |
0.032285 |
3.018 |
|
d Working student_________________________ |
0.096551 |
7.163 |
0.076887 |
6.731 |
|
Training_______________________________________ |
-0.090338 |
-6.441 |
-0.107812 |
-7.538 |
|
Married_____________________________________ |
0.005629 |
0.685 |
0.080510 |
6.880 |
|
Children____________________________________ |
-0.009754 |
-0.620 |
0.091021 |
4.602 |
|
d Father’s university degree_________________ |
0.030699 |
2.294 |
0.007577 |
0.509 |
|
d Father’s high school degree________________ |
0.018705 |
1.967 |
0.004630 |
0.421 |
|
d Mother’s degree_________________________ |
-0.002357 |
-0.162 |
0.009058 |
0.567 |
|
d High school______________________________ |
-0.005666 |
-0.598 |
0.011621 |
1.083 |
|
d Father’s occupation: manager_____________ |
0.015552 |
1.036 |
0.030424 |
1.903 |
|
d Father’s occupation: executive cadre_______ |
-0.003928 |
-0.280 |
0.027497 |
1.839 |
|
d Father’s occupation: white collar____________ |
-0.000960 |
-0.086 |
0.001874 |
0.154 |
|
d Mother’s occupation: executive cadre______ |
0.011883 |
0.812 |
-0.021382 |
-1.375 |
|
d Mother’s occupation: white collar___________ |
0.019560 |
1.942 |
0.006837 |
0.628 |
|
Erasmus_____________________________ |
0.031319 |
2.666 |
0.052507 |
4.020 |
|
Firm size____________________________________ |
0.089913 |
6.131 |
0.074524 |
3.547 |
|
d Attended private courses at university______ |
0.020647 |
0.995 |
0.001685 |
0.066 |
|
d Father employed________________________ |
0.004156 |
0.230 |
-0.000877 |
-0.041 |
|
d Father self-employed_____________________ |
0.023489 |
2.481 |
0.023034 |
2.074 |
|
Industrial sector________________________________ |
0.022993 |
2.527 |
0.037864 |
4.124 |
|
Paid training__________________________________ |
-0.145341 |
-5.817 |
-0.120088 |
-4.218 |
|
Region dummies________________________ |
X |
X | ||
|
Number of observations___________________ |
3744 |
3709 | ||
|
Rbar-squared____________________________ |
0.1480 |
0.1460 | ||
|
F_________________________________________ |
11.805 (0.00) |
11.596 (0.0^5)~ | ||
|
Average wage women (ln)________________ |
7.1099409 | |||
|
Average wage men (ln)____________________ |
7.2269904 | |||