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Table 7 Descriptive statistics of the explanatory variables included in the multinomial logistic regression

From: Mapping the (mis)match of university degrees in the graduate labor market

  First job Current job
  Frequency Percent Frequency Percent
Architecture 176 0.72 120 0.6
Biology 813 3.34 537 2.9
Business Studies 748 3.08 588 3.2
Chemistry 635 2.61 503 2.7
Engineering 1761 7.24 1523 8.2
Fine Arts 221 0.91 128 0.7
History and Philosophy 1178 4.84 841 4.5
Journalism 1253 5.15 867 4.6
Labor Relations 384 1.58 297 1.6
Languages and Literature 932 3.83 701 3.8
Law Studies 870 3.58 668 3.6
Management and Economics Studies 1511 6.21 1220 6.5
Mathematics 356 1.46 295 1.6
Medicine 708 2.91 696 3.7
Nursing Studies 2085 8.58 1506 8.1
Pharmacy 532 2.19 422 2.3
Physics 348 1.43 265 1.4
Political Science and Sociology 306 1.26 229 1.2
Psychology 928 3.82 710 3.8
Quantity Surveyors (Technical Architecture) 567 2.33 402 2.2
Social Work 676 2.78 491 2.6
Sports Science 465 1.91 356 1.9
Teacher Studies 3054 12.56 2377 12.7
Technical Engineering 2727 11.22 2151 11.5
Tourism Studies 670 2.76 465 2.5
Veterinary 291 1.20 217 1.2
Other university degrees 119 0.49 85 0.5
Female (= 1) 14,817 60.94 11,275 60.4
Internship (= 1 yes) 15,852 65.20   
Master’s degree (= 1 yes)    6271 33.6
Age (under 30 years old)    11,040 59.2
Age (from 30 to 34 years old)    4588 24.6
Age (35 years old or older)    3032 16.2
Observations 24,314   18,660  
  1. Source: author's elaboration from EILU2014