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

Table 9 Association between mortality risk, demographic characteristics, typology of pension, and socioeconomic characteristics

	Coefficient	Exp(coef)	Exp(coef) Model 4	SE	L.95% CI	U.95%CI
Female	−0.6888	0.5022	0.5619	0.079	0.43	0.59
Unmarried	0.1359	1.1455	1.1511	0.115	0.91	1.43
Separated	−0.1693	0.8443	0.7636	0.263	0.50	1.41
Divorced	0.5396	1.7154	1.5668	0.264	1.02	2.88
Widowed	0.1218	1.1296	1.0832	0.094	0.94	1.36
North-East	0.1857	1.2040	1.2462	0.097	1.00	1.45
North-West	0.1768	1.1934	1.2057	0.094	0.99	1.43
South & Islands	0.0220	1.0223	1.0031	0.085	0.87	1.21
Self-employed	−0.2723	0.7616	0.7400	0.094	0.63	0.92
Farmer	−0.1862	0.8301	0.8345	0.095	0.69	1.00
Disability pension	0.4091	1.5054	1.4713	0.104	1.23	1.85
Social disability pension	1.3329	3.7921	3.7896	0.127	2.95	4.87
Social pension	0.1026	1.1080	1.1203	0.099	0.91	1.35
Edu. lower secondary	−0.1564	0.8552	0.7947	0.106	0.70	1.05
Edu. upper secondary	0.0465	1.0476	1.0740	0.100	0.86	1.28
Medium ab. to make ends meet	−0.1949	0.8229	0.8276	0.070	0.72	0.94
High ab. to make ends meet	−0.5468	0.5788	0.5483	0.175	0.41	0.82

Gompertz parametric estimates (Model 4b) and comparison with Model 4 estimates (Exponential of coefficients)
Reference categories are: “Male” for sex, “Married” for marital status, “Center” for geographical area of residence, “Employee (blue+white collar)” for former occupational status, “Old-age pension” for type of pension, “Primary or none” for educational level, “Low ability” for household financial situation. Source: elaborations on AD-SILC data

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