Comparison of four contingent valuation methods to estimate the economic value of a pneumococcal vaccine in Bangladesh.
OBJECTIVE
To compare four contingent valuation elicitation methods as a means to estimate the value of a pneumococcal vaccine in Bangladesh and to test if the elicitation methods are subject to bias and if they produce valid responses.


METHODS
Three hundred sixty-one households with at least one child under 5 years of age were recruited in Dhaka, Bangladesh. Subjects were cluster-randomized to various elicitation methods: open-ended, dichotomous choice (at one of two asking prices), payment card (one of two cards with differing ranges). The dichotomous choice method was then followed up with a bidding game methodology, with the dichotomous choice price acting as the starting price for the bidding game. Analysis focused on summary statistics, demand curve estimation and multivariate regression analysis to test for validity and bias.


RESULTS
Thirty-one households refused to participate, leaving a total of 330 participating households (a 91.4 percent response rate). Willingness to pay estimates varied significantly across the methods (p < .001), with average estimates varying between $2.34 and $18 (US). The open-ended elicitation method was found to produce highly inflated values that were insensitive to construct validity tests. The dichotomous choice method produced quantity (demand) estimates rather than value estimates, and there was some evidence of yea-saying. The payment card elicitation method was found to be affected by range bias. The bidding game elicitation method was found to be less sensitive to starting point bias and yea-saying.


CONCLUSIONS
Different elicitation format do give rise to different demand curves; however, this may be partially due to the fact that they do not measure the same outcome. For example, the dichotomous choice format produces a demand curve, while the payment card, open-ended and bidding game produce inverse demand curves. All formats are prone to multiple biases. When choosing an elicitation format, it is important to first consider the purpose and use of the data. Each elicitation method has strengths and weaknesses and can be used for different purposes in technology assessment.
Heinzen
Rebekah R
RR
Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD, USA. rheinzen@jhsph.edu
Bridges
John F P
JF
D000328:Adult; D001459:Bangladesh; D002755:Choice Behavior; D003365:Costs and Cost Analysis; D003625:Data Collection / Q000379:methods*; D005260:Female; D006301:Health Services Needs and Demand / Q000191:economics; D006801:Humans; D008297:Male; D017059:Models, Econometric; D022242:Pneumococcal Vaccines / Q000191:economics*; D012107:Research Design
D022242:Pneumococcal Vaccines