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Testing the internal consistency of the lottery equivalents method using health outcomes

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  • Adam Oliver

Abstract

The standard gamble has a firm basis in the theory of risk and, for this reason, is the preferred method of health state value elicitation for many researchers. However, it is widely recognised that the use of immediate death as the failure outcome in the standard gamble renders the method insufficiently sensitive for the direct valuation of minor and temporary health states. Consequently, the indirect valuation of minor and temporary health states through a process of ‘chaining’ has been recommended. Unfortunately, a number of researchers have observed internal inconsistency in the standard gamble. That is, for health states that are not thought to be subject to the above mentioned insufficient sensitivity, the values elicited from indirect chained questions quite often significantly and systematically exceed those elicited from the direct procedure. A potential explanation for this is the possible influence of loss aversion when people are asked to weigh certainty against risk. The lottery equivalents method, an alternative value elicitation instrument that also has a firm grounding in the theory of risk, modifies the standard gamble approach of certainty versus risk to one of risk versus risk. The absence of certainty offers reason to suspect that the influence of loss aversion will be diminished (or even removed), and that the lottery equivalents method will thus prove to be internally consistent. The study reported in this article tests the internal consistency of the lottery equivalents method. In a manner similar to that observed with the standard gamble, the results indicate that the internal consistency of the lottery equivalents method is also to some extent compromised. Copyright © 2004 John Wiley & Sons, Ltd.

Suggested Citation

  • Adam Oliver, 2005. "Testing the internal consistency of the lottery equivalents method using health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 149-159, February.
  • Handle: RePEc:wly:hlthec:v:14:y:2005:i:2:p:149-159
    DOI: 10.1002/hec.889
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    References listed on IDEAS

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    Cited by:

    1. Adam Oliver, 2006. "On the lottery equivalents method: a response to Spencer et al," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 323-325, March.
    2. Jose Mª Abellán Perpiñán & Fernando Ignacio Sánchez Martínez & Jorge Eduardo Martínez Pérez & Ildefonso Méndez Martínez, 2009. "The QALY model wich came in from a general population survey: roughly multiplicative, broadly nonlinear and sometimes contex-dependt," Economic Working Papers at Centro de Estudios Andaluces E2009/04, Centro de Estudios Andaluces.
    3. James Andreoni & Charles Sprenger, 2011. "Uncertainty Equivalents: Testing the Limits of the Independence Axiom," NBER Working Papers 17342, National Bureau of Economic Research, Inc.
    4. Jose María Abellán Perpiñán & Fernando Ignacio Sánchez Martínez & Jorge Eduardo Martínez Pérez & Ildefonso Méndez Martínez, 2009. "Debiasing EQ-5D Tariffs. New estimations of the spanish EQ-5D value set under nonexpected utility," Economic Working Papers at Centro de Estudios Andaluces E2009/06, Centro de Estudios Andaluces.
    5. Valerie Seror, 2008. "Fitting observed and theoretical choices – women's choices about prenatal diagnosis of Down syndrome," Health Economics, John Wiley & Sons, Ltd., vol. 17(5), pages 557-577, May.
    6. José María Abellán Perpiñán & Fernando Ignacio Sánchez Martínez & Jorge Eduardo Martínez Pérez & Ildefonso Méndez, 2012. "Lowering The ‘Floor’ Of The Sf‐6d Scoring Algorithm Using A Lottery Equivalent Method," Health Economics, John Wiley & Sons, Ltd., vol. 21(11), pages 1271-1285, November.
    7. Han Bleichrodt & Jose Luis Pinto, 2012. "Conceptual Foundations for Health Utility Measurement," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 35, Edward Elgar Publishing.
    8. Callen, Mike & Isaqzadeh, Mohammad & Long, James D. & Sprenger, Charles, 2014. "Violence and risk preference: experimental evidence from Afghanistan," LSE Research Online Documents on Economics 102932, London School of Economics and Political Science, LSE Library.
    9. Michael Callen & Mohammad Isaqzadeh & James D. Long & Charles Sprenger, 2014. "Violence and Risk Preference: Experimental Evidence from Afghanistan," American Economic Review, American Economic Association, vol. 104(1), pages 123-148, January.

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