Table 7

Determinants of STWT duration by gender using the Cox semi-parametric function(*)

VariablesMenWomenAll
Model 1Model 2Model 1Model 2Model 1Model 2
Women0.595***0.622***
Nationality (ref. migrant IT)
  • Migrant from EU Austria

1.0241.0580.724**0.757*0.844*0.900
  • Migrant from EU UK

1.417***1.351***1.321***1.329***1.378***1.349***
  • Migrant extra EU Austria

0.8740.8950.5580.719**0.698***0.818**
  • Migrant extra EU Poland

0.4750.4360.5260.5760.524*0.542*
  • Migrant extra EU UK

0.690***0.646***0.542***0.582***0.601***0.596***
Marital status (ref. single IT)
  • Single AT

 3.120*** 2.278*** 1.539***
  • Single PL

 1.493*** 1.104 0.816**
  • Single UK

 2.455*** 2.464*** 1.509**
  • Other (married, separate., etc.) AT

 3.209*** 1.253 1.096
  • Other (married, separate., etc.) IT

 1.339*** 0.669*** 0.829***
  • Other (married, separate., etc.) PL

 2.113*** 0.635** 0.659***
  • Other (married, separate., etc.) UK

 3.319*** 1.893*** 1.448**
Benefits for unemployment (ref. IT)
  • Benefits AT

 0.677*** 0.777*** 0.736***
  • Benefits PL

 0.480* 0.473** 0.467***
Level of education (low IT)
  • Low AT

1.163 0.834 1.000 
  • Low PL

1.203 1.389 1.200 
  • Low UK

1.987*** 1.941*** 1.926*** 
  • Upper secondary ed. AT

0.93980.7941.5901.617***1.2601.139
  • Upper secondary ed. IT

1.868***1.938***2.398***2.191***2.017***1.974***
  • Upper secondary ed. PL

2.393***1.971***3.034***2.483***2.270***1.974***
  • Upper secondary ed. UK

3.162***1.583***3.378***1.800***3.030***1.585***
  • Post-secondary AT

0.9920.9151.6681.574**1.4071.274
  • Post-secondary IT

1.889**1.943**2.7152.429***2.175***1.298
  • Post-secondary PL

1.4141.2403.105***2.547***1.716***1.492***
  • Tertiary education AT

2.0051.678***1.4941.736***1.6331.564***
  • Tertiary education IT

2.535***2.691***3.772***3.355***3.045***1.786***
  • Tertiary education PL

3.382***2.800***4.525***3.942***3.233***2.834***
  • Tertiary education UK

3.403***1.680***4.284***2.332***3.610***1.860***
Vocational AT0.6950.7670.421***0.481***0.524***0.580***
Vocational PL1.1121.155**0.8910.9071.0591.059
Vocational UK0.774*0.766*0.651***0.644***0.715***0.708***
Vocational student-worker AT5.943***5.438***7.433***7.092***6.278***5.903***
Vocational student-worker UK2.999***2.874***4.849***4.927***3.779***3.744***
Degree of urbanization (ref. rural IT)
  • Rural area AT

1.980 2.326 2.006* 
  • Rural area PL

1.150 0.785 1.060 
  • Rural area UK

1.059 1.155 1.092 
  • Intermediate degree AT

2.0010.9952.516*1.0712.147**1.055
  • Intermediate degree IT

0.9990.9911.0701.0661.0231.007
  • Intermediate degree PL

1.1310.9720.8261.0481.0731.003
  • Intermediate degree UK

0.9350.8851.232***1.0561.0580.970
  • City AT

1.5870.851**2.1560.9041.7690.900*
  • City IT

0.798***0.800***0.9830.9690.871***0.828***
  • City PL

1.1010.9580.9681.160**1.1571.074
  • City UK

 0.968 0.885 0.943
Unemployment rate (ref. IT)
  • Austria

 0.966** 0.986 0.974**
  • Poland

 0.972 0.992 0.984
  • UK

 0.965 0.941 0.945*
Age0.998**0.995***0.988***0.993***0.993***0.996***
Wald chi4097.16***3902.50***3922.33***3599.01***6811.07***6444.45***
N5,4925,4925,5525,55211,04411,044

Note(s): Coefficients are expressed in terms of hazard ratios

(*) Student-workers are included in the analysis only if they have attained a vocational level of education. For this reason, the sample size is reduced in comparison to that of previous tables

(**) Age is interacted with time

*p < 0.1, **p < 0.05, ***p < 0.01

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