Tab. 3 Probit Regressions, Overqualification
Dependent variable: Overqualification | ||||||
|---|---|---|---|---|---|---|
(1) | (2) | (3) | ||||
High PE a | \(-\) 0.062 \({}^{***}\) | (0.013) | \(-\) 0.041 \({}^{***}\) | (0.013) | \(-\) 0.033 \({}^{**}\) | (0.014) |
(Pre-)Study characteristics: | ||||||
Vocational education | 0.021 | (0.017) | 0.011 | (0.017) | ||
School grade | \(-\) 0.023 \({}^{***}\) | (0.007) | \(-\) 0.010 | (0.007) | \(-\) 0.004 | (0.007) |
University grade | \(-\) 0.050 \({}^{***}\) | (0.007) | \(-\) 0.053 \({}^{***}\) | (0.007) | \(-\) 0.041 \({}^{***}\) | (0.007) |
Duration of study | 0.017 \({}^{**}\) | (0.007) | 0.014 \({}^{**}\) | (0.007) | ||
University types, Subjects: b | ||||||
Univ.: Medicine & Law | \(-\) 0.205 \({}^{***}\) | (0.008) | \(-\) 0.194 \({}^{***}\) | (0.008) | ||
Univ.: Teaching | \(-\) 0.136 \({}^{***}\) | (0.013) | \(-\) 0.134 \({}^{***}\) | (0.012) | ||
Univ.: STEM Subjects | \(-\) 0.164 \({}^{***}\) | (0.014) | \(-\) 0.146 \({}^{***}\) | (0.014) | ||
UAS: STEM Subjects | \(-\) 0.103 \({}^{***}\) | (0.017) | \(-\) 0.091 \({}^{***}\) | (0.017) | ||
Univ.: Bus & Econ | \(-\) 0.038 \({}^{**}\) | (0.019) | \(-\) 0.020 | (0.020) | ||
UAS: Bus & Econ | 0.019 | (0.032) | 0.031 | (0.033) | ||
UAS: Soc & Cult Science | \(-\) 0.085 \({}^{***}\) | (0.023) | \(-\) 0.078 \({}^{***}\) | (0.023) | ||
Job found through: | ||||||
Agency of parents/friends | 0.143 \({}^{***}\) | (0.029) | ||||
Job before studying | 0.109 \({}^{***}\) | (0.035) | ||||
Job while studying | 0.086 \({}^{***}\) | (0.022) | ||||
Internship | \(-\) 0.069 \({}^{***}\) | (0.015) | ||||
Worked during study: c | ||||||
Yes: related to subject | \(-\) 0.042 \({}^{**}\) | (0.018) | ||||
Yes: not related to subject | \(-\) 0.012 | (0.019) | ||||
Study was financed by: | ||||||
Own work (in %) | 0.001 \({}^{*}\) | (0.000) | ||||
Parental support (in %) | 0.000 | (0.000) | ||||
Distance work and native place: d | ||||||
Between 50 km and 100 km | \(-\) 0.034 \({}^{**}\) | (0.016) | ||||
More than 100 km | \(-\) 0.051 \({}^{***}\) | (0.014) | ||||
Improve career prospects: | ||||||
Commitment to the job | \(-\) 0.031 \({}^{**}\) | (0.013) | ||||
Gained experience abroad | \(-\) 0.035 \({}^{***}\) | (0.014) | ||||
Established social networks | 0.006 | (0.013) | ||||
Have been mobile | \(-\) 0.027 \({}^{*}\) | (0.014) | ||||
Attended additional courses | 0.011 | (0.013) | ||||
Future goals: | ||||||
Above-average performance | \(-\) 0.029 \({}^{**}\) | (0.014) | ||||
Fully exploit own potential | 0.019 | (0.015) | ||||
Fill a leading position | \(-\) 0.002 | (0.013) | ||||
Socio-demographics e | Yes | Yes | Yes | |||
Observations | 3706 | 3706 | 3706 | |||
Pseudo \(R^{2}\) | 0.047 | 0.126 | 0.166 | |||