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The role of heterogeneity of patients’ preferences in kidney transplantation

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  • Genie, Mesfin G.
  • Nicoló, Antonio
  • Pasini, Giacomo

Abstract

We elicit time and risk preferences for kidney transplantation from the entire population of patients of the largest Italian transplant centre using a discrete choice experiment (DCE). We measure patients’ willingness-to-wait (WTW) for receiving a kidney with one-year longer expected graft survival, or a low risk of complication. Using a mixed logit in WTW-space model, we find heterogeneity in patients’ preferences. Our model allows WTW to vary with patients’ age and duration of dialysis. The results suggest that WTW correlates with age and duration of dialysis, and that accounting for patients’ preferences in the design of kidney allocation protocols could increase their welfare. The implication for transplant practice is that eliciting patients’ preferences could help in the allocation of “non-ideal” kidneys.

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  • Genie, Mesfin G. & Nicoló, Antonio & Pasini, Giacomo, 2020. "The role of heterogeneity of patients’ preferences in kidney transplantation," Journal of Health Economics, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:jhecon:v:72:y:2020:i:c:s0167629619307222
    DOI: 10.1016/j.jhealeco.2020.102331
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    1. Nieboer, Anna P. & Koolman, Xander & Stolk, Elly A., 2010. "Preferences for long-term care services: Willingness to pay estimates derived from a discrete choice experiment," Social Science & Medicine, Elsevier, vol. 70(9), pages 1317-1325, May.
    2. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    3. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    4. Mandy Ryan & Nicolas Krucien & Frouke Hermens, 2018. "The eyes have it: Using eye tracking to inform information processing strategies in multi‐attributes choices," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 709-721, April.
    5. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    6. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    7. Meenakshi, J.V. & Banerji, A. & Manyong, Victor & Tomlins, Keith & Mittal, Nitya & Hamukwala, Priscilla, 2012. "Using a discrete choice experiment to elicit the demand for a nutritious food: Willingness-to-pay for orange maize in rural Zambia," Journal of Health Economics, Elsevier, vol. 31(1), pages 62-71.
    8. David M. Bishai, 2004. "Does time preference change with age?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 17(4), pages 583-602, December.
    9. Knut Per Hasund & Mitesh Kataria & Carl Johan Lagerkvist, 2011. "Valuing public goods of the agricultural landscape: a choice experiment using reference points to capture observable heterogeneity," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(1), pages 31-53.
    10. Chandra R. Bhat, 2000. "Incorporating Observed and Unobserved Heterogeneity in Urban Work Travel Mode Choice Modeling," Transportation Science, INFORMS, vol. 34(2), pages 228-238, May.
    11. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    12. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    13. Sarrias, Mauricio, 2016. "Discrete Choice Models with Random Parameters in R: The Rchoice Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i10).
    14. Nikhil Agarwal & Itai Ashlagi & Michael A. Rees & Paulo J. Somaini & Daniel C. Waldinger, 2019. "Equilibrium Allocations under Alternative Waitlist Designs: Evidence from Deceased Donor Kidneys," NBER Working Papers 25607, National Bureau of Economic Research, Inc.
    15. Greene, William H. & Hensher, David A. & Rose, John, 2006. "Accounting for heterogeneity in the variance of unobserved effects in mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 75-92, January.
    16. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    17. Sandra Rousseau & Ronald Rousseau, 2012. "Interactions between journal attributes and authors' willingness to wait for editorial decisions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1213-1225, June.
    18. Morin, Roger A & Fernandez Suarez, Antonio, 1983. "Risk Aversion Revisited," Journal of Finance, American Finance Association, vol. 38(4), pages 1201-1216, September.
    19. Agarwal, Nikhil & Ashlagi, Itai & Rees, Michael & Somaini, Paulo & Waldinger, Daniel, 2019. "An Empirical Framework for Sequential Assignment: The Allocation of Deceased Donor Kidneys," Research Papers 3724, Stanford University, Graduate School of Business.
    20. Fischer, Barbara & Telser, Harry & Zweifel, Peter, 2018. "End-of-life healthcare expenditure: Testing economic explanations using a discrete choice experiment," Journal of Health Economics, Elsevier, vol. 60(C), pages 30-38.
    21. Czajkowski, Mikołaj & Budziński, Wiktor, 2019. "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 73-85.
    22. Lancsar, Emily & Wildman, John & Donaldson, Cam & Ryan, Mandy & Baker, Rachel, 2011. "Deriving distributional weights for QALYs through discrete choice experiments," Journal of Health Economics, Elsevier, vol. 30(2), pages 466-478, March.
    23. Brown, Paul & Panattoni, Laura & Cameron, Linda & Knox, Stephanie & Ashton, Toni & Tenbensel, Tim & Windsor, John, 2015. "Hospital sector choice and support for public hospital care in New Zealand: Results from a labeled discrete choice survey," Journal of Health Economics, Elsevier, vol. 43(C), pages 118-127.
    24. Garrett Sonnier & Andrew Ainslie & Thomas Otter, 2007. "Heterogeneity distributions of willingness-to-pay in choice models," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 313-331, September.
    25. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    26. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    27. Dan Rigby & Francisco Alcon & Michael Burton, 2010. "Supply uncertainty and the economic value of irrigation water," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(1), pages 97-117, March.
    28. David A. Hensher & William H. Greene, 2011. "Valuation of Travel Time Savings in WTP and Preference Space in the Presence of Taste and Scale Heterogeneity," Journal of Transport Economics and Policy, University of Bath, vol. 45(3), pages 505-525, September.
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    Cited by:

    1. Li, Mengling & Riyanto, Yohanes E. & Xu, Menghan, 2022. "Remedying adverse selection in donor-priority rule using freeze period: Theory and experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 384-407.
    2. Mesfin G. Genie & Mandy Ryan & Nicolas Krucien, 2023. "Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1101-1119, May.
    3. Mesfin G. Genie & Nicolas Krucien & Mandy Ryan, 2021. "Weighting or aggregating? Investigating information processing in multi‐attribute choices," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1291-1305, June.

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    More about this item

    Keywords

    Discrete choice experiment; Mixed logit; Willingness to wait; Marginal kidney;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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