Table 2.
Single Bounded Probit Model Maximum Likelihood Estimates
Variable | Treatment | Prevention | |||||
Name | Explanation | Coefficient | S.E. | P | Coefficient | S.E. | P= |
Intercept | 2.3831 | 0.408 | 0.0001 | 2.5192 | 0.454 | 0.0001 | |
Bid | Gourdes | -0.0001 | 0.00001 | 0.0001 | -0.0169 | 0.0024 | 0.0001 |
Income | Gourdes/month | 0.0004 | 0.0001 | 0.0001 | 0.0004 | 0.0002 | 0.0116 |
Sex | (0 = female, 1 = male) | -0.0562 | 0.178 | 0.7517 | -0.0473 | 0.186 | 0.7993 |
Age | Years | -0.0184 | 0.006 | 0.0012 | -0.0083 | 0.006 | 0.1443 |
House Type | (0 = cement, 1 = wood or thatch) | -0.6615 | 0.145 | 0.0001 | -0.4318 | 0.149 | 0.0039 |
Knowledge | Correctly identify causes of filariasis (0 = yes, 1 = no) | -0.5014 | 0.188 | 0.0077 | -0.0983 | 0.199 | 0.6214 |
Familiarity | Family member with lymphedema or hydrocele (0 = no, 1 = yes) | -0.4476 | 0.181 | 0.0133 | -0.3865 | 0.197 | 0.0498 |
Magic | Belief in magic etiology of lymphedema (0 = no, 1 = yes) | -0.5692 | 0.163 | 0.0005 | -0.0124 | 0.170 | 0.9420 |
Household Number | Number of people living in household | 0.0014 | 0.025 | 0.9559 | |||
Perceived Risk | 0 = not or somewhat risky, 1 = risky or very risky | 0.3283 | 0.216 | 0.1283 |
Note: The probit model describes the likelihood that a household with specific characteristics would be willing to pay different amounts, rather than predicting a single deterministic WTP value