Literature DB >> 16518835

Empirical implications of response acquiescence in discrete-choice contingent valuation.

Raymond Y T Yeung1, Richard D Smith, Lai-Ming Ho, Janice M Johnston, Gabriel M Leung.   

Abstract

The use of discrete-choice contingent valuation (CV) to elicit individuals' preference, expressed as maximum willingness-to-pay (WTP), although primarily developed in environmental economics, has been popular in the economic evaluation of health and healthcare. However, a concern with this method is the potential for 'over-estimating' WTP values due to the presence of response acquiescence, or 'yea-saying' bias. Based on a CV survey conducted to estimate physicians' valuation of clinic computerization, the extent of such bias was estimated from a within-sample open-ended valuation question following the respondents' discrete choice response. Analysis of this data suggests that not only was response acquiescence an issue, but also that the parametric estimation of mean and median WTP, the most common approach to estimating WTP from discrete-choice data, would potentially magnify such bias (to various degrees depending on the distributional assumptions applied). The possible extent of CV design versus analysis in discrete-choice methods therefore warrants further exploration. Copyright (c) 2006 John Wiley & Sons, Ltd.

Mesh:

Year:  2006        PMID: 16518835     DOI: 10.1002/hec.1107

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  3 in total

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2.  The Value of Genomic Testing: A Contingent Valuation Across Six Child- and Adult-Onset Genetic Conditions.

Authors:  Yan Meng; Philip M Clarke; Ilias Goranitis
Journal:  Pharmacoeconomics       Date:  2021-10-21       Impact factor: 4.981

3.  Validity of Willingness to Pay Measures under Preference Uncertainty.

Authors:  Carola Braun; Katrin Rehdanz; Ulrich Schmidt
Journal:  PLoS One       Date:  2016-04-20       Impact factor: 3.240

  3 in total

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