IDEAS home Printed from https://ideas.repec.org/a/mof/journl/ppr14_04_03.html
   My bibliography  Save this article

What Causes Errors in Projections of Medical and Long-term Care Expenses?

Author

Listed:
  • Yuki Demizu

    (Researcher, Policy Research Institute, Ministry of Finance)

  • Daizo Kojima

    (Associate Professor, Institute of Economic Research, Kyoto University)

  • Takahide Koike

    (Former Senior Economist, Policy Research Institute, Ministry of Finance)

Abstract

While medical and long-term care costs in Japan are expected to continue to rise in the future, it is not clear to what degree we can estimate this increase using current projecting methods. Therefore, in this study, we hypothetically estimate medical and long-term care expenses based on past data, quantitatively analyzing discrepancies from actual results and the primary factors contributing to increases over time. In estimating medical and long-term care expense, we use a projection method that multiplies the recipient population by the cost per capita. In addition, it is assumed that medical expenses per capita rise at the same rate as nominal GDP per capita and long-term care expenses change at the same rate as nominal wages per capita. Then, projection errors are broken down into “recipient population factors” and “per capita cost factors.” The results of our analysis indicate that, while increases in expenses due to changing population structure make up a large proportion of increases in total medical and long-term care expense, most of these costs are projectable and thus, the projection error is not large. On the other hand, for per capita expenditure, there is a divergence between estimates of growth based on economic indicators and actual results, which is a factor causing underestimates. Of these increases in medical expenses and long-term care expenses during the analysis period, the proportion of error due to this per capita cost was 26% for medical expenses and 28% for long-term care expenses.

Suggested Citation

  • Yuki Demizu & Daizo Kojima & Takahide Koike, 2018. "What Causes Errors in Projections of Medical and Long-term Care Expenses?," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 14(4), pages 563-584, July.
  • Handle: RePEc:mof:journl:ppr14_04_03
    as

    Download full text from publisher

    File URL: https://www.mof.go.jp/english/pri/publication/pp_review/ppr14_04_03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oecd, 2006. "Projecting OECD Health and Long-Term Care Expenditures: What Are the Main Drivers?," OECD Economics Department Working Papers 477, OECD Publishing.
    2. Congressional Budget Office, 2018. "The 2018 Long-Term Budget Outlook," Reports 53919, Congressional Budget Office.
    3. Congressional Budget Office, 2014. "The 2014 Long-Term Budget Outlook," Reports 45471, Congressional Budget Office.
    4. Congressional Budget Office, 2016. "The 2016 Long-Term Budget Outlook," Reports 51580, Congressional Budget Office.
    5. repec:cbo:report:515801 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. D. Tverdokhlibova, 2018. "Theory and practice of the use of fiscal sustainability indicators," Economy and Forecasting, Valeriy Heyets, issue 3, pages 7-47.
    2. Jonathan M. Harris, 2019. "Responding to Economic and Ecological Deficits," GDAE Working Papers 19-01, GDAE, Tufts University.
    3. 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.
    4. Fotiou, Alexandra & Shen, Wenyi & Yang, Shu-Chun S., 2020. "The fiscal state-dependent effects of capital income tax cuts," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    5. Pammolli, Fabio & Salerno, Nicola, 2011. "Le differenze regionali nella governance della spesa sanitaria. La sanità alla sfide del federalismo: il modello SaniRegio di CeRM [Regional differences in the governance of health care expenditure," MPRA Paper 36934, University Library of Munich, Germany.
    6. DE DONDER, Philippe & PESTIEAU, Pierre, 2011. "Private, social and self insurance for long-term care: A political economy analysis," LIDAM Discussion Papers CORE 2011053, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Tavares, Lara Patrício & Zantomio, Francesca, 2017. "Inequity in healthcare use among older people after 2008: The case of southern European countries," Health Policy, Elsevier, vol. 121(10), pages 1063-1071.
    8. Massimo Baldini & Carlo Mazzaferro & Marcello Morciano, 2008. "Assessing the implications of long-term care policies in Italy: a microsimulation approach," Politica economica, Società editrice il Mulino, issue 1, pages 47-72.
    9. Błażej Łyszczarz, 2018. "Determinanty wydatków na zdrowie w gospodarstwach domowych w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 137-157.
    10. Hanming Fang & Qing Gong, 2017. "Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked," American Economic Review, American Economic Association, vol. 107(2), pages 562-591, February.
    11. Duncan Ermini Leaf & Bryan Tysinger & Dana P. Goldman & Darius N. Lakdawalla, 2021. "Predicting quantity and quality of life with the Future Elderly Model," Health Economics, John Wiley & Sons, Ltd., vol. 30(S1), pages 52-79, November.
    12. Imtiaz Bhatti & Marvin Phaup, 2015. "Budgeting for Fiscal Uncertainty and Bias: A Federal Process Proposal," Public Budgeting & Finance, Wiley Blackwell, vol. 35(2), pages 89-105, June.
    13. Iga Rudawska, 2013. "Trendy epidemiologiczno-demograficzne jako wyzwanie dla europejskich systemow ochrony zdrowia. (Epidemiologic and demographic trends as a challenge for European health care systems.)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 11(41), pages 34-52.
    14. Torben M. Andersen & Marias H. Gestsson, 2010. "Longevity, Growth and Intergenerational Equity - The Deterministic Case," Economics wp52, Department of Economics, Central bank of Iceland.
    15. Torbe M. Andersen, 2012. "Fiscal sustainability and fiscal policy targets," Economics Working Papers 2012-15, Department of Economics and Business Economics, Aarhus University.
    16. Kazumasa Oguro, 2014. "Challenges confronting Abenomics and Japanese public finance ?Fiscal consolidation must start by squarely facing reality?," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 10(2), pages 301-318, August.
    17. Congressional Budget Office, 2022. "Quantifying the Uncertainty of Long-Term Economic Projections: Working Paper 2022-07," Working Papers 57711, Congressional Budget Office.
    18. Robert A Buckle & Amy A Cruickshank, 2013. "The Requirements for Long-Run Fiscal Sustainability," Treasury Working Paper Series 13/20, New Zealand Treasury.
    19. repec:dau:papers:123456789/13361 is not listed on IDEAS
    20. de Meijer, Claudine & Koopmanschap, Marc & d' Uva, Teresa Bago & van Doorslaer, Eddy, 2011. "Determinants of long-term care spending: Age, time to death or disability?," Journal of Health Economics, Elsevier, vol. 30(2), pages 425-438, March.
    21. Bianchi, Francesco & Melosi, Leonardo, 2019. "The dire effects of the lack of monetary and fiscal coordination," Journal of Monetary Economics, Elsevier, vol. 104(C), pages 1-22.

    More about this item

    Keywords

    Medical expenses; Long-term care expenses; Projection errors; Factor analysis;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

    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:mof:journl:ppr14_04_03. 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: Policy Research Institute (email available below). General contact details of provider: https://edirc.repec.org/data/prigvjp.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.