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Valuing the benefits of mobile mammographic screening units using the contingent valuation method

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  • Philip Clarke

Abstract

The benefits of improving access to mammographic screening are estimated using a contingent valuation experiment conducted on 458 women in 19 rural Australian towns. The contingent valuation survey provides women with information on mammographic screening and uses a closed-ended format to elicit their willingness to pay for a visit of a mobile mammographic screening unit. Single and double-bounded versions of the discrete response contingent valuation method are employed in the estimation of willingness to pay. The double-bounded contingent valuation approach is shown to be biased due to respondents having a greater disposition to respond 'no' when the bid amount in the follow-up question is higher than the bid amount offered in the initial question. Several approaches to dealing with this bias are examined.

Suggested Citation

  • Philip Clarke, 2000. "Valuing the benefits of mobile mammographic screening units using the contingent valuation method," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1647-1655.
    • Handle: RePEc:taf:applec:v:32:y:2000:i:13:p:1647-1655
    DOI: 10.1080/000368400420995
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    Cited by:

    1. Michaël Schwarzinger & Fabrice Carrat & Stéphane Luchini, 2009. ""If you have the flu symptoms, your asymptomatic spouse may better answer the willingness-to-pay question". Evidence from a double-bounded dichotomous choice model with heterogeneous anchori," Post-Print inserm-00636179, HAL.
    2. Christine A. Kennedy, 2002. "Revealed preference valuation compared to contingent valuation: radon‐induced lung cancer prevention," Health Economics, John Wiley & Sons, Ltd., vol. 11(7), pages 585-598, October.
    3. Schwarzinger, Michaël & Carrat, Fabrice & Luchini, Stéphane, 2009. ""If you have the flu symptoms, your asymptomatic spouse may better answer the willingness-to-pay question": Evidence from a double-bounded dichotomous choice model with heterogeneous anchori," Journal of Health Economics, Elsevier, vol. 28(4), pages 873-884, July.
    4. Kim, GwanSeon & Petrolia, Daniel R. & Interis, Matthew G., 2012. "A Method for Improving Welfare Estimates from Multiple-Referendum Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-12, August.
    5. Watson, Verity & Ryan, Mandy, 2007. "Exploring preference anomalies in double bounded contingent valuation," Journal of Health Economics, Elsevier, vol. 26(3), pages 463-482, May.
    6. Philip M. Clarke, 2002. "Testing the convergent validity of the contingent valuation and travel cost methods in valuing the benefits of health care," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 117-127, March.
    7. Rinaldo Brau & Matteo Lippi Bruni & Anna Maria Pinna, 2010. "Public versus private demand for covering long-term care expenditures," Applied Economics, Taylor & Francis Journals, vol. 42(28), pages 3651-3668.
    8. Trey A. Baird & Davene R. Wright & Maria T. Britto & Ellen A. Lipstein & Andrew T. Trout & Shireen E. Hayatghaibi, 2023. "Patient Preferences in Diagnostic Imaging: A Scoping Review," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 16(6), pages 579-591, November.
    9. Neil Powe & Kenneth Willis & Guy Garrod, 2006. "Difficulties in valuing street light improvement: trust, surprise and bound effects," Applied Economics, Taylor & Francis Journals, vol. 38(4), pages 371-381.
    10. Asfaw, Abay & Braun, Joachim von, 2004. "Can community health insurance schemes shield the poor against the downside health effects of economic reforms? The case of rural ethiopia," Health Policy, Elsevier, vol. 70(1), pages 97-108, October.
    11. Costa-Font, Joan, 2017. "“Institutionalization aversion” and the willingness to pay for home health care," Journal of Housing Economics, Elsevier, vol. 38(C), pages 62-69.

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