The spatial structure of chronic morbidity: evidence from UK census returns

Table 5 Regression coefficients: baseline models

M0	White			Black			Asian			Mixed			Other
M0	b	SE	p	b	SE	p	b	SE	p	b	SE	p	b	SE	p
(Intercept)	\(-\)4.046	0.025	<.001	\(-\)4.179	0.034	<.001	\(-\)4.493	0.059	<.001	\(-\)3.911	0.054	<.001	\(-\)4.239	0.049	<.001
Male	\(-\)0.080	0.001	<.001	\(-\)0.054	0.007	<.001	\(-\)0.248	0.005	<.001	0.138	0.009	<.001	\(-\)0.089	0.012	<.001
Aged 16–49	0.914	0.003	<.001	0.816	0.012	<.001	0.658	0.009	<.001	0.980	0.012	<.001	0.924	0.023	<.001
Aged 50–64	2.036	0.003	<.001	1.975	0.013	<.001	2.466	0.009	<.001	2.342	0.015	<.001	2.417	0.024	<.001
Aged 65+	3.179	0.003	<.001	3.232	0.013	<.001	3.623	0.009	<.001	3.201	0.016	<.001	3.353	0.025	<.001
Wales	0.274	0.047	<.001	0.191	0.080	0.017	\(-\)0.028	0.079	0.727	0.269	0.056	<.001	0.181	0.080	0.024
Lond. centre	\(-\)0.255	0.076	0.001	0.491	0.097	<.001	\(-\)0.019	0.115	0.872	0.069	0.085	0.416	0.165	0.103	0.108
Prospering	\(-\)0.341	0.029	<.001	\(-\)0.219	0.040	<.001	\(-\)0.337	0.056	<.001	\(-\)0.351	0.041	<.001	\(-\)0.296	0.047	<.001
Coastal	\(-\)0.181	0.040	<.001	0.147	0.069	0.033	\(-\)0.316	0.079	<.001	\(-\)0.075	0.059	0.206	\(-\)0.097	0.077	0.208
Mining	0.163	0.037	<.001	0.008	0.054	0.876	0.034	0.069	0.620	0.088	0.053	0.093	0.024	0.061	0.698
% same ethnicity							1.887	0.297	<.001	\(-\)6.016	1.329	<.001	6.477	1.634	<.001
\(\sigma ^2\)	0.041	0.202		0.062	0.248		0.092	0.303		0.042	0.205		0.051	0.227
Shapiro–Wilks	0.996		0.519	0.994		0.148	0.995		0.362	0.997		0.724	0.989		0.009
Moran’s I	0.511		<.001	0.431		<.001	0.550		<.001	0.503		<.001	0.394		<.001
AIC	97,530			15,517			21,760			16,112			12,298

ISSN: 1476-072X