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Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity

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  • Emmanouil Mentzakis
  • Mandy Ryan
  • Paul McNamee

Abstract

While informal care is a significant part of non‐market economic activity, its value is rarely acknowledged, perhaps reflecting a lack of market data. Traditional methods to value such care include opportunity and replacement cost. This study is the first to employ the discrete choice experiment methodology to value informal care tasks. A monetary value is estimated for three tasks (personal care, supervising and household tasks). The relationship between time spent on formal and informal care is also modelled and preference heterogeneity investigated using the Latent Class Model. Complementarity between supervising tasks and formal care is observed. Monetary compensation is important, with willingness to accept per hour values ranging from £0.38 to £0.83 for personal care, £0.75 for supervising and £0.31 to £0.6 for household tasks. Heterogeneity in preferences is observed, with monetary compensation being important for younger people, but insignificant for older individuals. Such heterogeneity is important at the policy level. Values are lower than those generated by opportunity cost and replacement cost methods, perhaps because of the limited ability of revealed preference methods to capture broader aspect of utility. Differences with contingent valuation methods are also observed, suggesting future research should investigate the external validity of the different methods. Copyright © 2010 John Wiley & Sons, Ltd.

Suggested Citation

  • Emmanouil Mentzakis & Mandy Ryan & Paul McNamee, 2011. "Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 930-944, August.
  • Handle: RePEc:wly:hlthec:v:20:y:2011:i:8:p:930-944
    DOI: 10.1002/hec.1656
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    Cited by:

    1. Emmanouil Mentzakis & Mandy Ryan & Paul McNamee, 2014. "Modelling Heterogeneity and Uncertainty in Contingent Valuation: an Application to the Valuation of Informal Care," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(1), pages 1-25, February.
    2. Renske Hoefman & Job Exel & Werner Brouwer, 2013. "How to Include Informal Care in Economic Evaluations," PharmacoEconomics, Springer, vol. 31(12), pages 1105-1119, December.
    3. Christian Pfarr & Andreas Schmid & Morten Raun Mørkbak, 2018. "Modelling Heterogeneous Preferences for Income Redistribution–An Application of Continuous and Discrete Distributions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 270-294, June.
    4. Marcel F. Jonker & Bas Donkers & Esther de Bekker‐Grob & Elly A. Stolk, 2019. "Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 350-363, March.
    5. Emmanouil Mentzakis & Paul McNamee & Mandy Ryan & Matthew Sutton, 2012. "Valuing Informal Care Experience: Does Choice of Measure Matter?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 108(1), pages 169-184, August.
    6. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
    7. Mendolia, Silvia & McNamee, Paul & Yerokhin, Oleg, 2018. "The Transmission of Mental Health within Households: Does One Partner's Mental Health Influence the Other Partner's Life Satisfaction?," IZA Discussion Papers 11431, Institute of Labor Economics (IZA).
    8. Anezaki, Hisataka & Hashimoto, Hideki, 2018. "Time cost of child rearing and its effect on women's uptake of free health checkups in Japan," Social Science & Medicine, Elsevier, vol. 205(C), pages 1-7.
    9. Caroline M. Vass & Katherine Payne, 2017. "Using Discrete Choice Experiments to Inform the Benefit-Risk Assessment of Medicines: Are We Ready Yet?," PharmacoEconomics, Springer, vol. 35(9), pages 859-866, September.
    10. Juan Oliva-Moreno & Marta Trapero-Bertran & Luz Maria Peña-Longobardo & Raúl del Pozo-Rubio, 2017. "The Valuation of Informal Care in Cost-of-Illness Studies: A Systematic Review," PharmacoEconomics, Springer, vol. 35(3), pages 331-345, March.
    11. Jennifer A Whitty & Simon Stewart & Melinda J Carrington & Alicia Calderone & Thomas Marwick & John D Horowitz & Henry Krum & Patricia M Davidson & Peter S Macdonald & Christopher Reid & Paul A Scuffh, 2013. "Patient Preferences and Willingness-To-Pay for a Home or Clinic Based Program of Chronic Heart Failure Management: Findings from the Which? Trial," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
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    13. Kaambwa, Billingsley & Lancsar, Emily & McCaffrey, Nicola & Chen, Gang & Gill, Liz & Cameron, Ian D. & Crotty, Maria & Ratcliffe, Julie, 2015. "Investigating consumers' and informal carers' views and preferences for consumer directed care: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 140(C), pages 81-94.
    14. Liesbet Wetering & Job Exel & Ana Bobinac & Werner Brouwer, 2015. "Valuing QALYs in Relation to Equity Considerations Using a Discrete Choice Experiment," PharmacoEconomics, Springer, vol. 33(12), pages 1289-1300, December.
    15. Lea de Jong & Torben Schmidt & Jona Theodor Stahmeyer & Sveja Eberhard & Jan Zeidler & Kathrin Damm, 2023. "Willingness to provide informal care to older adults in Germany: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 425-436, April.
    16. Maria Gheorghe & Renske J. Hoefman & Matthijs M. Versteegh & Job Exel, 2019. "Estimating Informal Caregiving Time from Patient EQ-5D Data: The Informal CARE Effect (iCARE) Tool," PharmacoEconomics, Springer, vol. 37(1), pages 93-103, January.
    17. Mehdi Ammi & Christine Peyron, 2016. "Heterogeneity in general practitioners’ preferences for quality improvement programs: a choice experiment and policy simulation in France," Health Economics Review, Springer, vol. 6(1), pages 1-11, December.
    18. Michael Clark & Domino Determann & Stavros Petrou & Domenico Moro & Esther Bekker-Grob, 2014. "Discrete Choice Experiments in Health Economics: A Review of the Literature," PharmacoEconomics, Springer, vol. 32(9), pages 883-902, September.
    19. Paul McNamee & Silvia Mendolia & Oleg Yerokhin, 2021. "The transmission of partner mental health to individual life satisfaction: Estimates from a longitudinal household survey," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(4), pages 494-516, September.
    20. V. Meusel & E. Mentzakis & P. Baji & G. Fiorentini & F. Paolucci, 2023. "Priority setting in the German healthcare system: results from a discrete choice experiment," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 411-431, September.
    21. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    22. Mo Zhou & Winter Maxwell Thayer & John F. P. Bridges, 2018. "Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review," PharmacoEconomics, Springer, vol. 36(2), pages 175-187, February.
    23. Hu, Bo & Cartagena-Farias, Javiera & Brimblecombe, Nicola & Jadoolal, Shari & Wittenberg, Raphael, 2023. "Projected costs of informal care for older people in England," LSE Research Online Documents on Economics 121157, London School of Economics and Political Science, LSE Library.
    24. Renske J. Hoefman & Job van Exel & John M. Rose & E. J. van de Wetering & Werner B. F. Brouwer, 2014. "A Discrete Choice Experiment to Obtain a Tariff for Valuing Informal Care Situations Measured with the CarerQol Instrument," Medical Decision Making, , vol. 34(1), pages 84-96, January.

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