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

Rheingans et al. Filaria Journal 2004 3:2   doi:10.1186/1475-2883-3-2

Open Data