Table 1. Description of Variables Used in the Regression Model
Variable |
Proportion |
Mean |
Std. Error |
Range |
Willingness to pay ($) |
5.79 |
7.72 |
0-36 | |
Age (years) |
16 46 38 |
39.89 |
11.73 |
17-72 3 binary variables: |
Gender |
0.52 |
0.50 |
1 = Male, 0 = Female | |
Education level |
0.76 |
0.43 |
1 = College education, | |
Family members |
4.50 |
2.04 |
1-15 | |
Household income ($ per |
789.80 |
648.99 |
100-4,000 | |
Household expenditures per |
126.10 |
130.58 |
2.5-992 | |
Water bill ($ per month) |
19.61 |
18.01 |
3-125 | |
Access to water 24 hours a day |
0.80 |
0.40 |
1=Yes 0=No | |
Perception about water tariff |
0.26 |
0.44 |
1= Expensive, | |
Perception about water |
0.22 |
0.42 |
0 = no satisfied, | |
Perception about water quality |
0.30 |
0.46 |
0 = no satisfied, | |
Perception about water service |
0.62 |
0.49 |
0 = no satisfied, | |
Potential solution to the |
0.84 |
0.37 |
0 = Maintain human 1= Buy land from private |
*It does not include the expenditure in water services.