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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

 

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