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Using Respondents’ Uncertainty Scores to Mitigate Hypothetical Bias in Community-Based Health Insurance Studies

Hermann Donfouet (), Pierre-Alexandre Mahieu () and Eric Malin

Economics Working Paper Archive (University of Rennes & University of Caen) from Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS

Abstract: Community-based health insurance has been implemented in several developing countries to help the poor to gain access to adequate health care services. Assessing what the poor are willing to pay is of paramount importance for policy-making. The contingent valuation method, which relies on a hypothetical market, is commonly used for this purpose. But the presence of the hypothetical bias which is most often inherent in this method tends to bias the estimates upward, and compromises policy-making. This paper uses respondents’ uncertainty scores in an attempt to mitigate hypothetical bias in community-based health insurance in one rural setting in Cameroon. Uncertainty scores are often employed in single dichotomous choice surveys. An originality of the paper is to use such an approach in a double-bounded dichotomous choice survey. The results suggest that this instrument is effective at decreasing the mean WTP.

Keywords: Community-based health insurance; contingent valuation method; hypothetical bias (search for similar items in EconPapers)
JEL-codes: C35 D80 I38 (search for similar items in EconPapers)
Date: 2011-10
New Economics Papers: this item is included in nep-hea and nep-ias
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Related works:
Journal Article: Using respondents’ uncertainty scores to mitigate hypothetical bias in community-based health insurance studies (2013) Downloads
Working Paper: Using respondents' uncertainty scores to mitigate hypothetical bias in community-based health insurance studies (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:tut:cremwp:201129

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