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Measuring the Loss of Consumer Choice in Mandatory Health Programmes Using Discrete Choice Experiments


  • Bonny Parkinson
  • Stephen Goodall
  • Richard Norman


DCEs can be used to measure the utility impact of a loss of consumer choice. Excluding the utility impact of a loss of consumer choice from an economic evaluation taking a societal perspective may result in a sub-optimal, or incorrect, funding decision. Copyright Springer International Publishing Switzerland 2013

Suggested Citation

  • Bonny Parkinson & Stephen Goodall & Richard Norman, 2013. "Measuring the Loss of Consumer Choice in Mandatory Health Programmes Using Discrete Choice Experiments," Applied Health Economics and Health Policy, Springer, vol. 11(2), pages 139-150, April.
  • Handle: RePEc:spr:aphecp:v:11:y:2013:i:2:p:139-150
    DOI: 10.1007/s40258-013-0017-1

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    References listed on IDEAS

    1. Productivity Commission, 2005. "Impacts of Advances in Medical Technology in Australia," Research Reports, Productivity Commission, Government of Australia, number 17.
    2. Parkinson, Bonny & Goodall, Stephen, 2011. "Considering consumer choice in the economic evaluation of mandatory health programmes: A review," Health Policy, Elsevier, vol. 101(3), pages 236-244, August.
    3. Emily Lancsar & Elizabeth Savage, 2004. "Deriving welfare measures from discrete choice experiments: a response to Ryan and Santos Silva," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 919-924, September.
    4. Karl Claxton & Simon Walker & Steven Palmer & Mark Sculpher, 2010. "Appropriate Perspectives for Health Care Decisions," Working Papers 054cherp, Centre for Health Economics, University of York.
    5. Andrew M. Jones (ed.), 2006. "The Elgar Companion to Health Economics," Books, Edward Elgar Publishing, number 3572.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
    7. Brouwer, Werner B.F. & Exel, N. Job A. van & Berg, Bernard van den & Bos, Geertruidis A.M. van den & Koopmanschap, Marc A., 2005. "Process utility from providing informal care: the benefit of caring," Health Policy, Elsevier, vol. 74(1), pages 85-99, September.
    8. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    9. Jane Hall & Patricia Kenny & Madeleine King & Jordan Louviere & Rosalie Viney & Angela Yeoh, 2002. "Using stated preference discrete choice modelling to evaluate the introduction of varicella vaccination," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 457-465, July.
    10. Williams, Alan & Cookson, Richard, 2000. "Equity in health," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 35, pages 1863-1910, Elsevier.
    11. A. J. Culyer & J. P. Newhouse (ed.), 2000. "Handbook of Health Economics," Handbook of Health Economics, Elsevier, edition 1, volume 1, number 1.
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    Cited by:

    1. Vikas Soekhai & Esther W. Bekker-Grob & Alan R. Ellis & Caroline M. Vass, 2019. "Discrete Choice Experiments in Health Economics: Past, Present and Future," PharmacoEconomics, Springer, vol. 37(2), pages 201-226, February.
    2. Sopany Saing & Phil Haywood & Naomi van der Linden & Kathleen Manipis & Elena Meshcheriakova & Stephen Goodall, 2019. "Real-World Cost Effectiveness of Mandatory Folic Acid Fortification of Bread-Making Flour in Australia," Applied Health Economics and Health Policy, Springer, vol. 17(2), pages 243-254, April.

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