Table 3 Model (2) considers the ‘inactive’ and ‘unemployed’ state versus the ‘employed’ state. Model (5) considers the ‘inactive’ 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
Men | Women | |||
|---|---|---|---|---|
Variables | Model (2) | Model (5) | Model (2) | Model (5) |
Citizenship | ||||
Italian | – | – | – | – |
Foreign EU27 | 0.043** | 0.010 | 0.008** | 0.012** |
Foreign non-EU27 | 0.003 | 0.003 | −0.016* | 0.014** |
Socio-demographic factors | ||||
Years of education | 0.001** | −0.022** | 0.010** | 0.001** |
Share of children in the household | 0.014** | 0.005** | −0.001 | −0.006** |
Labour experience | ||||
Yes | – | – | – | – |
No | −0.062** | −0.052** | −0.029** | −0.017** |
Status of the individual out of labour force | ||||
Student | −0.116** | −0.144** | −0.034** | −0.044** |
Housewife | – | – | −0.063** | −0.066** |
Invalid | −0.149** | −0.158** | −0.051** | −0.049** |
In other condition | – | – | – | – |
Number of observations | 28,629 | 24,401 | 105,136 | 99,547 |
UBRE | −0.261 | −0.345 | −0.658 | −0.700 |
Deviance explained | 12.00% | 15.70% | 17.70% | 19.70% |