Life expectancy inequalities in the elderly by socioeconomic status: evidence from Italy

Table 4 Association between mortality risk, demographic characteristics, typology of pension, and socioeconomic characteristics

	Coefficient	Exp(coef)	S.E.	Pr(>\|z\|)
Female	− 0.5652 ***	0.5683	0.0805	< 0.0001
Unmarried	0.1422	1.1529	0.1169	0.22358
Separated	−0.2755	0.7592	0.2662	0.30068
Divorced	0.4254	1.5302	0.2715	0.11712
Widowed	0.0830	1.0865	0.0954	0.38447
North-East	0.2256 **	1.2531	0.0974	0.02061
North-West	0.1850 *	1.2032	0.0948	0.05109
South & Islands	0.0055	1.0055	0.0863	0.94919
White-collar employee	0.1558	1.1686	0.1067	0.14425
Self-employed craftsman	−0.1575	0.8542	0.1224	0.19819
Self-employed shopkeeper	−0.4083***	0.6648	0.1408	0.00374
Farmer	−0.1618*	0.8506	0.0973	0.09646
Disability pension	0.3862***	1.47132	0.10647	< 0.0001
Social disability pension	1.3323***	3.78957	0.13104	< 0.0001
Social pension	0.1136	1.12025	0.10053	0.25869
Edu. Lower secondary	−0.22983**	0.79467	0.10740	0.03236
Edu. Upper secondary or more	0.07138	1.07399	0.10182	0.48325
Medium ab. to make ends meet	−0.18922***	0.82760	0.07080	0.00753
High ab. to make ends meet	−0.60094***	0.54830	0.17771	0.00072

Reference categories are: “Male” for sex, “Married” for marital status, “Center” for geographical area of residence and “Blue-collar employee” for former occupational status, “Old-age pension” for type of pension, “Primary or none” for education level, “Low” for ability to make ends meet. Significance legend: (***) = 99%; (**) = 95%; (*) = 90%. Likelihood Ratio Test between models 2 and 3 = 260.894 on 4 degree of freedom, p-value < 0.005. Source: elaborations on AD-SILC data

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