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Table 6 Effects of qualifications and covariates on full-time employment

From: Do the labour market returns to university degrees differ between high and low achieving youth? Evidence from Australia

 

All

Young men

Young women

Intercept

− 0.59***

− 0.62***

− 0.02

− 0.05

− 0.70***

− 0.73***

Male

0.42***

0.42***

Parents’ ESCS (std.)

0.02

0.02

− 0.02

− 0.02

0.05

0.05

PISA test score (std.)

− 0.01

− 0.06

0.00

− 0.06

0.01

− 0.04

Year 12 completion

0.34***

0.37***

0.19*

0.22*

0.46***

0.48***

VET certificate III or IV

0.03

0.03

− 0.01

− 0.01

0.09

0.09

VET diploma

0.08

0.08

− 0.02

− 0.03

0.21

0.20

University degree

0.66***

0.56***

0.56***

0.45***

0.70***

0.62***

Prop. yrs. FT employed

3.76***

3.75***

4.06***

4.03***

3.38***

3.38***

Prop. yrs. unemp. spells

− 0.16

− 0.16

− 0.39*

− 0.37*

0.05

0.04

Years since 2003

0.00

0.00

− 0.01

− 0.01

0.01

0.00

Degree by test score

0.28***

0.27*

0.27**

N of observations

23,935

23,935

11,733

11,733

12,202

12,202

N of events (y = 1)

16,649

16,649

8768

8768

7881

7881

N of persons (clusters)

7005

7005

3414

3414

3591

3591

Clusters with missing data

840

840

402

402

438

438

  1. Logit regression coefficients from repeated design analyses. Contrast: employed full-time vs not employed full-time. Full-time study observations excluded. Weighted for sample selection and attrition. See Table 1 for abbreviations
  2. * 0.05 > P > 0.01; ** 0.01 > P > 0.001; *** P < 0.001