A bootstrapping approach for generating an inverse distance weight matrix when multiple observations have an identical location in large health surveys

Table 2 OLS regression (HIV testing)

	Coef^b	SE	CI (lower)	CI (higher)	Coverage probability (%)	MSE
Women
Original data^a
Spatial lag	1.159	0.226	0.716	1.603
Wealth	0.003	0.003	− 0.003	0.010
Education	0.008	0.007	− 0.007	0.022
5000 simulation
Wealth	0.008	0.009	− 0.010	0.026	94.5	0.0001
Education	0.011	0.018	− 0.025	0.046	97.8	0.0003
10,000 simulation
Wealth	0.008	0.009	− 0.010	0.026	95.0	0.0001
Education	0.011	0.018	− 0.024	0.046	97.9	0.0003
Men
Original data^a
Spatial lag	1.337	0.171	1.001	1.672
Wealth	− 0.011	0.002	− 0.016	− 0.007
Education	0.018	0.005	0.009	0.027
_cons	− 0.270	0.144	− 0.552	0.013
5000 simulation
Wealth	− 0.010	0.009	− 0.029	0.009	95.1	0.0003
Education	0.019	0.019	− 0.019	0.056	96.6	0.0005
10,000 simulation
Wealth	− 0.010	0.009	− 0.028	0.008	95.6	0.0001
Education	0.019	0.019	− 0.019	0.056	97.0	0.0004

ISSN: 1476-072X