IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v180y2017i3p723-749.html
   My bibliography  Save this article

Health losses at the end of life: a Bayesian mixed beta regression approach

Author

Listed:
  • Maria Gheorghe
  • Susan Picavet
  • Monique Verschuren
  • Werner B. F. Brouwer
  • Pieter H. M. Baal

Abstract

No abstract is available for this item.

Suggested Citation

  • Maria Gheorghe & Susan Picavet & Monique Verschuren & Werner B. F. Brouwer & Pieter H. M. Baal, 2017. "Health losses at the end of life: a Bayesian mixed beta regression approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 723-749, June.
  • Handle: RePEc:bla:jorssa:v:180:y:2017:i:3:p:723-749
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rssa.12230
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sander Greenland, 2005. "Multiple‐bias modelling for analysis of observational data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 267-306, March.
    2. Nicola J. Cooper & Paul C. Lambert & Keith R. Abrams & Alexander J. Sutton, 2007. "Predicting costs over time using Bayesian Markov chain Monte Carlo methods: an application to early inflammatory polyarthritis," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 37-56, January.
    3. Kwun Chuen Gary Chan, 2013. "Nuisance parameter elimination for proportional likelihood ratio models with nonignorable missingness and random truncation," Biometrika, Biometrika Trust, vol. 100(1), pages 269-276.
    4. Peter Zweifel & Stefan Felder & Andreas Werblow, 2004. "Population Ageing and Health Care Expenditure: New Evidence on the “Red Herring”," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 29(4), pages 652-666, October.
    5. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    6. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    7. Andreas Werblow & Stefan Felder & Peter Zweifel, 2007. "Population ageing and health care expenditure: a school of ‘red herrings’?," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1109-1126, October.
    8. van Baal, Pieter H. & Wong, Albert, 2012. "Time to death and the forecasting of macro-level health care expenditures: Some further considerations," Journal of Health Economics, Elsevier, vol. 31(6), pages 876-887.
    9. Raydonal Ospina & Silvia Ferrari, 2010. "Inflated beta distributions," Statistical Papers, Springer, vol. 51(1), pages 111-126, January.
    10. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    11. Peter Zweifel & Stefan Felder & Markus Meiers, 1999. "Ageing of population and health care expenditure: a red herring?," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 485-496, September.
    12. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    13. Adriana Lleras-Muney, 2005. "The Relationship Between Education and Adult Mortality in the United States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 189-221.
    14. Joseph Ibrahim & Geert Molenberghs, 2009. "Missing data methods in longitudinal studies: a review," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 1-43, May.
    15. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    16. Joseph Ibrahim & Geert Molenberghs, 2009. "Rejoinder on: Missing data methods in longitudinal studies: a review," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 68-75, May.
    17. Victor R. Fuchs, 2018. "The New Demographic Transition: Most Gains in Life Expectancy Now Realized Late in Life," World Scientific Book Chapters, in: Health Economics and Policy Selected Writings by Victor Fuchs, chapter 32, pages 379-401, World Scientific Publishing Co. Pte. Ltd..
    18. Meena Seshamani & Alastair Gray, 2004. "Ageing and health‐care expenditure: the red herring argument revisited," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 303-314, April.
    19. Jay Verkuilen & Michael Smithson, 2012. "Mixed and Mixture Regression Models for Continuous Bounded Responses Using the Beta Distribution," Journal of Educational and Behavioral Statistics, , vol. 37(1), pages 82-113, February.
    20. Xiaodong Luo & Wei Yann Tsai, 2012. "A proportional likelihood ratio model," Biometrika, Biometrika Trust, vol. 99(1), pages 211-222.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Byaro, Mwoya & Kinyondo, Abel & Michello, Charles & Musonda, Patrick, 2018. "Determinants of Public Health Expenditure Growth in Tanzania: An Application of Bayesian Model," African Journal of Economic Review, African Journal of Economic Review, vol. 6(1), January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Melberg, Hans Olav & Sørensen, Jan, 2013. "How does end of life costs and increases in life expectancy affect projections of future hospital spending?," HERO Online Working Paper Series 2013:9, University of Oslo, Health Economics Research Programme.
    2. Breyer Friedrich, 2015. "Demographischer Wandel und Gesundheitsausgaben: Theorie, Empirie und Politikimplikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 215-230, October.
    3. Wubulihasimu, Parida & Gheorghe, Maria & Slobbe, Lany & Polder, Johan & van Baal, Pieter, 2015. "Trends in Dutch hospital spending by age and disease 1994–2010," Health Policy, Elsevier, vol. 119(3), pages 316-323.
    4. Friedrich Breyer & Normann Lorenz & Thomas Niebel, 2015. "Health care expenditures and longevity: is there a Eubie Blake effect?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 95-112, January.
    5. Howdon, Daniel & Rice, Nigel, 2018. "Health care expenditures, age, proximity to death and morbidity: Implications for an ageing population," Journal of Health Economics, Elsevier, vol. 57(C), pages 60-74.
    6. Friedrich Breyer & Normann Lorenz, 2021. "The “red herring” after 20 years: ageing and health care expenditures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 661-667, July.
    7. Moore, Patrick V. & Bennett, Kathleen & Normand, Charles, 2017. "Counting the time lived, the time left or illness? Age, proximity to death, morbidity and prescribing expenditures," Social Science & Medicine, Elsevier, vol. 184(C), pages 1-14.
    8. Maria Gheorghe & Werner Brouwer & Pieter Baal, 2015. "Did the health of the Dutch population improve between 2001 and 2008? Investigating age- and gender-specific trends in quality of life," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(8), pages 801-811, November.
    9. Claudia Geue & Andrew Briggs & James Lewsey & Paula Lorgelly, 2014. "Population ageing and healthcare expenditure projections: new evidence from a time to death approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(8), pages 885-896, November.
    10. Antonios Garas & Sophie Guthmuller & Athanasios Lapatinas, 2021. "The development of nations conditions the disease space," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-35, January.
    11. Norton, E.C., 2016. "Health and Long-Term Care," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 951-989, Elsevier.
    12. repec:dau:papers:123456789/7972 is not listed on IDEAS
    13. Karlsson, Martin & Klohn, Florian, 2011. "Some notes on how to catch a red herring: Ageing, time-to-death & care costs for older people in Sweden," Darmstadt Discussion Papers in Economics 207, Darmstadt University of Technology, Department of Law and Economics.
    14. Kasteridis, Panagiotis & Rice, Nigel & Santos, Rita, 2022. "Heterogeneity in end of life health care expenditure trajectory profiles," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 221-251.
    15. Silvia Balia & Rinaldo Brau, 2014. "A Country For Old Men? Long‐Term Home Care Utilization In Europe," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1185-1212, October.
    16. Atella, Vincenzo & Conti, Valentina, 2014. "The effect of age and time to death on primary care costs: The Italian experience," Social Science & Medicine, Elsevier, vol. 114(C), pages 10-17.
    17. Colombier, Carsten & Weber, Werner, 2009. "Projecting health-care expenditure for Switzerland: further evidence against the 'red-herring' hypothesis," MPRA Paper 26747, University Library of Munich, Germany, revised Nov 2009.
    18. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    19. Dries P.J. Kuijper & Jakub W. Bubnicki & Marcin Churski & Bjorn Mols & Pim van Hooft, 2015. "Context dependence of risk effects: wolves and tree logs create patches of fear in an old-growth forest," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(6), pages 1558-1568.
    20. Massimiliano Piacenza & Gilberto Turati, 2014. "Does Fiscal Discipline Towards Subnational Governments Affect Citizens' Well‐Being? Evidence On Health," Health Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 199-224, February.
    21. Stefan Felder, 2006. "Lebenserwartung, medizinischer Fortschritt und Gesundheitsausgaben: Theorie und Empirie," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(s1), pages 49-73, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssa:v:180:y:2017:i:3:p:723-749. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.