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Table 3 Spatial probit (HIV testing)

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

 CoefSECI (lower)CI (higher)  
Women
 splag4.3710.8652.6766.067  
 Wealth0.0130.013− 0.0130.040  
 Education0.0330.029− 0.0230.090  
 CoefSEBoot CI (lower)Boot CI (higher)Coverage probability (%)MSE
5000 simulation
 Wealth0.0350.035345− 0.0350.10494.10.002
 Education0.0510.073127− 0.0920.19497.60.006
10,000 simulation
 Wealth0.0340.035677− 0.0360.10494.40.002
 Education0.0510.074628− 0.0950.19897.30.006
 CoefSECI (lower)CI (higher)Coverage probability (%)MSE
Men
 splag5.5060.7094.1176.895  
 Wealth− 0.0480.009− 0.0660.030  
 Education0.0790.0200.0400.118  
 _cons− 3.5700.597− 4.741− 2.400  
5000 simulation
 Wealth− 0.0400.040929− 0.1200.04094.80.002
 Education0.0860.085585− 0.0820.25496.40.007
10,000 simulation
 Wealth− 0.0400.041274− 0.1210.04194.70.002
 Education0.0870.084701− 0.0790.25396.50.007