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Table 2 Model (2) considers the ‘unemployed’ and ‘employed’ states versus the ‘inactive’ state. Model (4) considers the ‘employed’ state versus the ‘unemployed’ state. The ME for a continuous covariate is computed as the change in the probability from the mean value after an increase of one standard deviation in the variable X of interest, with all other variables held at their observed values. The ME for a categorical variable is measured as the change in the probability from 0 to 1, with all other variables held at their observed values

From: Interaction effects of region-level GDP per capita and age on labour market transition rates in Italy

 

Men

Women

Variables

Model (2)

Model (4)

Model (2)

Model (4)

Citizenship

    

 Italian

 Foreign EU27

−0.034

−0.012

−0.067**

0.025**

 Foreign non-EU27

−0.048**

−0.107**

−0.010

−0.071

Socio-demographic factors

    

 Years of education

0.012**

0.031**

−0.039**

0.068**

 Share of children in the household

−0.029**

0.028**

0.031**

−0.008

Labour experience

    

 Yes

 No

0.056**

−0.038**

0.092**

−0.073**

Duration of job search

    

 Up to 6 months

 Between 7 and 12 months

0.003

−0.080**

0.048**

−0.083**

 Between 13 and 24 months

0.015

−0.157**

0.020

−0.130**

 Greater than 25 months

0.023*

−0.206**

0.059**

−0.203**

 Unknown

0.034

−0.131**

0.055*

−0.098**

 Number of observations

10,079

6953

10,342

5717

 UBRE

0.202

0.312

0.305

0.292

 Deviance explained

3.31%

5.20%

5.40%

6.39%

  1. ** P < 0.05
  2. * P < 0.1