Table 5.
The estimated WTP and VSL (value of statistical life) for a dengue intervention that reduces the risk of mortality from dengue by 1/3000 or 1/1000 on the dollar and natural log scale.
Variables | WTP 1/3000 risk |
WTP 1/1000 risk |
VSL 1/3000 risk |
VSL 1/1000 risk |
||||
---|---|---|---|---|---|---|---|---|
Coefficients on the dollar and natural log scale | ||||||||
$ | Ln | $ | Ln | $ | Ln | $ | Ln | |
Monthly Income† | 0.000750∗∗∗ | 0.225∗∗∗ | 0.00107∗ | 0.203∗∗∗ | 2.250∗∗∗ | 0.225∗∗∗ | 1.071∗ | 0.203∗∗∗ |
(0.000262) | (0.0470) | (0.000587) | (0.0506) | (0.785) | (0.0470) | (0.587) | (0.0506) | |
Gender‡ | –0.878∗∗∗ | -0.182∗∗ | –0.527 | –0.172∗∗ | –2634.0∗∗∗ | –0.182∗∗ | –526.9 | –0.172∗∗ |
(0.276) | (0.0716) | (0.617) | (0.0769) | (828.0) | (0.0716) | (617.2) | (0.0769) | |
Age >27§ | –0.176 | 0.00634 | –0.409 | –0.0537 | –526.9 | 0.00634 | –409.0 | –0.0537 |
(0.278) | (0.0712) | (0.621) | (0.0765) | (833.3) | (0.0712) | (621.0) | (0.0765) | |
Intervention Effectiveness‖ | 0.0163 | 0.000360 | –0.498 | –0.0229 | 48.79 | 0.000360 | –497.6 | –0.0229 |
(0.266) | (0.0682) | (0.595) | (0.0733) | (798.3) | (0.0682) | (595.1) | (0.0733) | |
Time to think¶ | –0.266 | 0.0133 | –0.683 | 0.00627 | –798.7 | 0.0133 | –683.4 | 0.00627 |
(0.295) | (0.0757) | (0.660) | (0.0812) | (885.8) | (0.0757) | (660.0) | (0.0812) | |
Medication survey# | 0.424 | 0.00476 | 1.357∗ | 0.0506 | 1271.2 | 0.00476 | 1357.2∗ | 0.0506 |
(0.321) | (0.0825) | (0.719) | (0.0886) | (964.2) | (0.0825) | (719.4) | (0.0886) | |
Vaccine survey†† | 0.0638 | –0.00683 | 0.492 | 0.0467 | 191.4 | –0.00683 | 491.6 | 0.0467 |
(0.328) | (0.0842) | (0.733) | (0.0903) | (983.7) | (0.0842) | (732.5) | (0.0903) | |
Constant | 3.823∗∗∗ | –0.141 | 5.117∗∗∗ | 0.287 | 11470.1∗∗∗ | 7.865∗∗∗ | 5117.4∗∗∗ | 7.195∗∗∗ |
(0.395) | (0.299) | (0.885) | (0.322) | (1184.5) | (0.299) | (884.9) | (0.322) |
Note. ∗∗∗, ∗∗, and ∗ denote statistical significance at the 1%, 5%, and 10% levels, respectively. Standard errors are in parentheses.
Ln indicates the natural log; WTP, willingness to pay.
The income variable is a continuous variable for monthly income.
The gender variable is a dichotomous variable that is coded 0 for males and 1 for females.
The age variable is a categorical variable that is coded 0 for participants 27 years and younger, and 1 for participants older than 27 years.
The intervention effectiveness variable is a dichotomous variable that is coded 0 for 50% effectiveness and 1 for 90% effectiveness.
The TTT variable is a dichotomous variable coded 1 for TTT surveys and 0 for non-TTT surveys
The medication survey variable is a dichotomous variable coded 1 for surveys with medication as the intervention and 0 for surveys with vaccines and unnamed health interventions.
The vaccine survey variable is a dichotomous variable coded 1 for surveys with vaccine as the intervention and 0 for surveys with medication and unnamed health interventions.