Tab. 1 Descriptive Statistics

Overqualification

0.201

0.401

0

1

High PE^a

0.461

0.499

0

1

(Pre-)Study characteristics:

Vocational education

0.373

0.484

0

1

School grade^b

0.000

0.998

\(-\)3.16

2.53

University grade^c

0.000

0.998

\(-\)4.12

2.42

Duration of study^c

0.000

0.998

\(-\)2.54

6.29

Univ. of applied sciences (UAS)

0.253

0.435

0

1

University types, Subjects:

Univ.: Medicine & Law

0.111

0.314

0

1

Univ.: Teaching

0.112

0.315

0

1

Univ.: STEM Subjects

0.247

0.431

0

1

UAS: STEM Subjects

0.172

0.377

0

1

Univ.: Bus & Econ

0.145

0.352

0

1

UAS: Bus & Econ

0.046

0.209

0

1

Univ.: Soc & Cult Science

0.133

0.340

0

1

UAS: Soc & Cult Science

0.035

0.184

0

1

Job found through:

Agency of parents/friends

0.077

0.267

0

1

Job before studying

0.048

0.214

0

1

Job while studying

0.126

0.332

0

1

Internship

0.162

0.369

0

1

Worked during study:

Yes: related to subject

0.569

0.495

0

1

Yes: not related to subject

0.189

0.392

0

1

Not worked during study

0.242

0.428

0

1

Study was financed by:

Own work (in %)

28.453

22.538

0

99

Parental support (in %)

44.766

31.489

0

99

Distance work and native place:

Less than 50 km

0.470

0.499

0

1

Between 50 km and 100 km

0.146

0.353

0

1

More than 100 km

0.385

0.487

0

1

Improve career prospects:

Commitment to the job

0.433

0.496

0

1

Gained experience abroad

0.313

0.464

0

1

Established social networks

0.406

0.491

0

1

Have been mobile

0.300

0.458

0

1

Attended additional courses

0.415

0.493

0

1

Future goals:

Above-average performance

0.685

0.465

0

1

Fully exploit own potential

0.801

0.399

0

1

Fill a leading position

0.547

0.498

0

1

Observations

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