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

Table 4 Estimated annual willingness to accept (WTA)

	Conditional logit model^a		Latent class logit model^b
	Conditional logit model^a		Class 1 (High WTA)		Class 2 (Low WTA)
Alternative-specific attributes	WTA	Std. Err.	WTA	Std. Err.	WTA	Std. Err.
Foregone 10 % malaria risk reduction	$8.94***	($3.40)	$19.35***	($5.35)	$0.38	($0.31)
One IRS round foregone
DDT-based	$56.38***	($14.57)	$87.53***	($20.43)	-$1.97***	($0.94)
ICON-based	$53.78***	($13.69)	$84.32***	($20.01)	-$2.79***	($1.07)
Predicted class sizes
Unconditional			80 %		20 %
(w/ sample weights)			82 %		18 %
Conditional			81 %		19 %
(w/ sample weights)			84 %		16 %
Respondents	588		588
Choice tasks per respondent	3		3
Model degrees of freedom	4		25
Log-likelihood	−1 376		−1 166

Notes: ***, ** and * indicate statistical significance at the 1, 5 and 10 % levels, respectively. Computations based on conditional and latent class logit model estimates (Additional file 2: Table A1). A 10 % discount rate is applied to convert the choice model coefficients to annual WTA, according to estimates reported by Bauer and Chytilová [36]. Dollar values in 2009 USD. Standard errors calculated clustering at the respondent level (i.e. across choice tasks). ^a Model estimated with sampling weights. Model estimated without sampling weights yields similar results, but with a 34 % lower (in magnitude) malaria risk WTA and a log-likelihood value of −1419. ^b Model and reported log-likelihood first estimated without sampling weights, due to software limitations. To account for sampling design, sampling weights applied to class membership model and imputed class sizes reported here with and without sample weights

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