Dealing with internal inconsistency in double-bounded dichotomous choice: an application to community-based health insurance

Hermann Donfouet (), P. Wilner Jeanty () and Pierre-Alexandre Mahieu ()
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Pierre-Alexandre Mahieu: LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes

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Abstract: Contingent valuation method is commonly used in the field of health economics in an attempt to help policy makers in their policy-making decision process. The use of the double-bounded dichotomous choice format results in a substantial gain in statistical efficiency over the single-bounded dichotomous choice format. Yet, there is internal inconsistency with a downward mean shifting in the second responses. Using data from a community-based health insurance survey, this paper aims at testing whether double certainty calibration reduces internal inconsistency in a double-bounded dichotomous choice contingent valuation survey. Results suggest that double calibration significantly reduces internal inconsistency while maintaining the efficiency gain arising from the double-bounded format.

Keywords: community-based health insurance; internal inconsistency; double certainty calibration; Contingent valuation (search for similar items in EconPapers)
Date: 2014-02
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00761049
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Published in Empirical Economics, 2014, 46 (1), pp.317-328. ⟨10.1007/s00181-012-0665-2⟩

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Journal Article: Dealing with internal inconsistency in double-bounded dichotomous choice: an application to community-based health insurance (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00761049

DOI: 10.1007/s00181-012-0665-2

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