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Table 5 Marginal effects of household and respondent covariates on IRS preferences

From: Household perceptions and subjective valuations of indoor residual spraying programmes to control malaria in northern Uganda

 

Prob. in high-WTA group

Marginal effect on expected WTA to forego:

 

Marginal effect

Std. Err.

10 % decrease in malaria risk

One round of DDT

One round of ICON

Household-level variables

Household size (members)

+0.39 %

(0.706 %)

+$0.07

+$0.35

+$0.34

Average household age (years)

−0.34 %*

(0.191 %)

-$0.06

-$0.30

-$0.29

Number of children under 10

−0.93 %

(1.309 %)

-$0.18

-$0.83

-$0.81

Value of household assets

−0.01 %

(0.004 %)

-$0.00

-$0.01

-$0.01

Monthly household income

+0.05 %

(0.038 %)

+$0.01

+$0.04

+$0.04

Monthly malaria incidence

−4.06 %

(7.526 %)

-$0.77

-$3.63

-$3.54

Participated in previous IRSa

+8.53 %

(7.210 %)

+$1.62

+$7.63

+$7.43

Mosquito nets per person

+9.70 %**

(4.862 %)

+$1.84

+$8.68

+$8.45

Respondent-level variables

Age

+0.11 %

(0.132 %)

+$0.02

+$0.10

+$0.10

Female1

−5.71 %**

(2.916 %)

-$1.08

-$5.11

-$4.97

Education \( \ge \) some secondarya

−6.26 %

(4.423 %)

-$1.19

-$5.61

-$5.46

Ill with malaria in past month?a

+5.05 %

(3.886 %)

+$0.96

+$4.52

+$4.40

Perceived malaria risk

+11.10 %

(9.599 %)

+$2.10

+$9.93

+$9.67

Respondent believes: a

     

   Mosquitoes cause malaria

+3.56 %

(5.677 %)

+$0.68

+$3.19

+$3.10

   Standing water predicts mosquito abundance

+7.56 %***

(2.787 %)

+$1.43

+$6.77

+$6.59

   IRS is effective

+19.45 %***

(6.897 %)

+$3.69

+$17.41

+$16.95

  1. Notes: Estimated covariate effects from the latent class logit model (Table 4 and Additional file 2: Table A1). ***, ** and * indicate statistical significance at the 1, 5 and 10 % levels, respectively. For WTA calculations, 10 % discount rate is applied to convert the choice model coefficients to annual WTA [36]. a Marginal effect calculated for discrete change in binary variable