Tab. 4 Probit Regressions by Family Background, Overqualification
Dependent variable: Overqualification | ||||
|---|---|---|---|---|
Low PE | High PE | |||
(1) | (2) | |||
(Pre-)Study characteristics: | ||||
Vocational education | 0.003 | (0.025) | 0.019 | (0.022) |
School grade | \(-\) 0.012 | (0.011) | 0.006 | (0.009) |
University grade | \(-\) 0.041 \({}^{***}\) | (0.010) | \(-\) 0.037 \({}^{***}\) | (0.008) |
Duration of study | 0.020 \({}^{*}\) | (0.011) | 0.007 | (0.009) |
University types, Subjects: a | ||||
Univ.: Medicine & Law | \(-\) 0.216 \({}^{***}\) | (0.013) | \(-\) 0.163 \({}^{***}\) | (0.012) |
Univ.: Teaching | \(-\) 0.144 \({}^{***}\) | (0.022) | \(-\) 0.111 \({}^{***}\) | (0.012) |
Univ.: STEM Subjects | \(-\) 0.147 \({}^{***}\) | (0.024) | \(-\) 0.131 \({}^{***}\) | (0.017) |
UAS: STEM Subjects | \(-\) 0.081 \({}^{***}\) | (0.030) | \(-\) 0.086 \({}^{***}\) | (0.016) |
Univ.: Bus & Econ | 0.024 | (0.035) | \(-\) 0.045 \({}^{**}\) | (0.020) |
UAS: Bus & Econ | 0.085 | (0.052) | \(-\) 0.025 | (0.035) |
UAS: Soc & Cult Science | \(-\) 0.117 \({}^{***}\) | (0.032) | \(-\) 0.021 | (0.036) |
Job found through: | ||||
Agency of parents/friends | 0.129 \({}^{***}\) | (0.041) | 0.151 \({}^{***}\) | (0.041) |
Job before studying | 0.086 \({}^{*}\) | (0.045) | 0.175 \({}^{***}\) | (0.065) |
Job while studying | 0.102 \({}^{***}\) | (0.033) | 0.070 \({}^{**}\) | (0.029) |
Internship | \(-\) 0.088 \({}^{***}\) | (0.024) | \(-\) 0.050 \({}^{***}\) | (0.018) |
Worked during study: b | ||||
Yes: related to subject | \(-\) 0.081 \({}^{***}\) | (0.027) | \(-\) 0.001 | (0.021) |
Yes: not related to subject | \(-\) 0.043 | (0.028) | 0.028 | (0.028) |
Study was financed by: | ||||
Own work (in %) | 0.001 \({}^{**}\) | (0.000) | \(-\) 0.000 | (0.000) |
Parental support (in %) | 0.000 | (0.000) | \(-\) 0.000 | (0.000) |
Distance work and native place: c | ||||
Between 50 km and 100 km | \(-\) 0.073 \({}^{***}\) | (0.022) | 0.017 | (0.025) |
More than 100 km | \(-\) 0.073 \({}^{***}\) | (0.021) | \(-\) 0.035 \({}^{**}\) | (0.017) |
Improve career prospects: | ||||
Commitment to the job | \(-\) 0.016 | (0.020) | \(-\) 0.041 \({}^{**}\) | (0.016) |
Gained experience abroad | \(-\) 0.038 \({}^{*}\) | (0.022) | \(-\) 0.030 \({}^{*}\) | (0.016) |
Established social networks | \(-\) 0.012 | (0.020) | 0.030 \({}^{*}\) | (0.016) |
Have been mobile | \(-\) 0.044 \({}^{**}\) | (0.022) | \(-\) 0.009 | (0.018) |
Attended additional courses | 0.008 | (0.020) | 0.017 | (0.016) |
Future goals: | ||||
Above-average performance | \(-\) 0.023 | (0.021) | \(-\) 0.041 \({}^{**}\) | (0.018) |
Fully exploit own potential | 0.001 | (0.024) | 0.034 \({}^{*}\) | (0.018) |
Fill a leading position | 0.007 | (0.020) | \(-\) 0.013 | (0.017) |
Socio-demographics d | Yes | Yes | ||
Observations | 1997 | 1709 | ||
Pseudo \(R^{2}\) | 0.150 | 0.202 | ||