Dealing with internal inconsistency in double-bounded dichotomous choice: an application to community-based health insurance |
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Authors: | Hermann Pythagore Pierre Donfouet P Wilner Jeanty P-A Mahieu |
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Institution: | 1. CREM, UMR 6211, University of Rennes I, 7 Place Hoche, 35 065, Rennes Cedex, France 2. Kinder Institute for Urban Research & Hobby Center for the Study of Texas, Rice University, MS 208 6100 Main Street, Houston, TX, 77005, USA 3. LEMNA, University of Nantes, Chemin de la Censive du Tertre, 44 322, Nantes Cedex, France
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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. |
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