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

Table 3 Spatial probit (HIV testing)

	Coef	SE	CI (lower)	CI (higher)
Women
splag	4.371	0.865	2.676	6.067
Wealth	0.013	0.013	− 0.013	0.040
Education	0.033	0.029	− 0.023	0.090

	Coef	SE	Boot CI (lower)	Boot CI (higher)	Coverage probability (%)	MSE
5000 simulation
Wealth	0.035	0.035345	− 0.035	0.104	94.1	0.002
Education	0.051	0.073127	− 0.092	0.194	97.6	0.006
10,000 simulation
Wealth	0.034	0.035677	− 0.036	0.104	94.4	0.002
Education	0.051	0.074628	− 0.095	0.198	97.3	0.006

	Coef	SE	CI (lower)	CI (higher)	Coverage probability (%)	MSE
Men
splag	5.506	0.709	4.117	6.895
Wealth	− 0.048	0.009	− 0.066	0.030
Education	0.079	0.020	0.040	0.118
_cons	− 3.570	0.597	− 4.741	− 2.400
5000 simulation
Wealth	− 0.040	0.040929	− 0.120	0.040	94.8	0.002
Education	0.086	0.085585	− 0.082	0.254	96.4	0.007
10,000 simulation
Wealth	− 0.040	0.041274	− 0.121	0.041	94.7	0.002
Education	0.087	0.084701	− 0.079	0.253	96.5	0.007

ISSN: 1476-072X