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

Table 1 Model (2) considers the ‘employed’ and ‘unemployed’ states versus the ‘inactive’ state. Model (3) 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 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 (3)	Model (2)	Model (3)
Citizenship
Italian	–	–	–	–
Foreign EU27	0.007	0.016**	−0.003	0.017**
Foreign non-EU27	−0.004	0.017**	0.001	0.013**
Socio-demographic factors
Years of education	−0.009**	−0.003**	−0.008**	−0.006**
Share of children in the household	−0.009**	−0.003**	0.002**	−0.003*
Type of employment
Employed (permanent contract)	–	–	–	–
Employed (fixed-term contract)	0.061**	0.072**	0.079**	0.056**
Self-employed (collabouration)	0.013**	0.006	0.018**	0.009
Self-employed (entrepreneur)	−0.034**	−0.021**	−0.022**	−0.013**
Self-employed (freelancer)	−0.037**	−0.022**	−0.030**	−0.015**
Self-employed (co-adjuvant of family business)	0.030**	−0.001	0.039**	−0.011**
Sector of employment
Agriculture	0.008**	−0.006**	0.060**	−0.002
Buildings	0.014**	0.013**	0.034**	0.021**
Industry	0.002	0.003**	0.020**	0.008**
Commerce	−0.008**	0.001	−0.008**	0.002
Services	–	–	–	–
Size of the firm (num. of employees)
No employee	0.037**	0.050**	0.072**	0.043**
Up to 10 employees	0.004**	0.007**	0.024**	0.015**
From 11 to 49 employees	–	–	–	–
From 50 to 250 employees	−0.004**	−0.007**	−0.006**	−0.006**
More than 250 employees	−0.003	−0.010**	−0.004	−0.006**
Number of observations	138,282	131,351	95,208	88,213
UBRE	−0.673	−0.819	−0.539	−0.807
Deviance explained	17.90%	12.50%	12.40%	12.50%