Decomposing cross-country differences in quality adjusted life expectancy: the impact of value sets

Table 2 Regression results¹

Main effects	Coef.	P > \|z\|	Interaction terms	Coef.	P > \|z\|
Age	-0.069	0.000	Gender*age	-0.003	0.000
Age squared	0.003	0.004
Age cubic	-0.000	0.002	Belgium*age	0.028	0.000
			Canada*age	0.027	0.000
Education²	0.040	0.000	Finland*age	0.024	0.000
Gender³	0.010	0.555	Germany*age	0.026	0.000
			Greece*age	0.020	0.000
Belgium	-0.114	0.003	Hungary*age	0.018	0.000
Canada	-0.107	0.000	Japan*age	0.032	0.000
Finland	-0.078	0.010	Netherlands*age	0.031	0.000
Germany	-0.086	0.009	New Zealand*age	0.027	0.000
Greece	0.018	0.700	Slovenia*age	0.020	0.000
Hungary	-0.025	0.372	Spain*age	0.029	0.000
Japan	-0.085	0.042	Sweden*age	0.033	0.000
Netherlands	-0.125	0.000	UK*age	0.026	0.000
New Zealand	-0.104	0.003	US*age	0.025	0.000
Slovenia	-0.114	0.003
Spain	-0.090	0.001	Belgium*gender	-0.001	0.966
Sweden	-0.189	0.000	Canada*gender	-0.015	0.490
UK	-0.094	0.001	Finland*gender	0.008	0.689
US	-0.132	0.000	Germany*gender	-0.008	0.724
			Greece*gender	-0.017	0.496
			Hungary*gender	-0.024	0.160
			Japan*gender	-0.009	0.701
			Netherlands*gender	-0.015	0.397
			New Zealand*gender	0.015	0.502
			Slovenia*gender	0.019	0.367
			Spain*gender	-0.024	0.158
			Sweden*gender	0.036	0.037
			UK*gender	0.023	0.215
			US*gender	-0.014	0.447
Constant	1,138
Adj R-squared	0.16
N	40,650

¹ Standard errors were calculated using non-parametric bootstrap technique
² Education levels: 1 = low (primary); 2 = medium (secondary); 3 = high (university)
³ Gender: 0 = male; 1 = female

ISSN: 1478-7954