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Table 4 Estimates of the log-linear regression model

From: Quantifying the economic burden of malaria in Nigeria using the willingness to pay approach

 

Unstandardized coefficients

 

Coefficients a,b Standardized coefficients

  

Model

B

Std. error

Beta

T

Sig

1 Public Medical facilities

-.125

.069

-.010

-1.822

.069

Log of HH highest level of education

.408

.066

.124

6.203

.000

Log of HH Income

.408

.022

.604

18.466

.000

Log of cost of spraying

.224

.028

.167

7.877

.000

Log self-assessment rating

-.578

.077

-.077

-7.460

.000

Log of total cost of hospital treatmentc

.210

.032

.167

6.652

.000

Stranger

-.300

.185

-.005

-1.624

.104

Married household

.171

.067

.019

2.552

.011

  1. a. Dependent variable: Log of WTP to eradicate malaria
  2. b. Linear regression through the origin
  3. c. Treatment cost in Clinic/Hospital not involving admission is used
  4. Other statistics: R2 = 0.987; DW = 1.522; F = 15341.9