IDEAS home Printed from https://ideas.repec.org/a/uii/journl/v10y2018i1p15-31id9023.html
   My bibliography  Save this article

Forecasting demand for long-term care based on multistate piecewise constant Markov process

Author

Listed:
  • Cui Xiaodong
  • Zheng Yuhua

Abstract

This paper forecasts demand for long-term care based on multistate piecewiseconstant Markov process. Two types of data are mainly used in this study. Thefirst type of data came from the Chinese Longitudinal Healthy Longevity Survey(CLHLS), 2008-2011. The second type of data came from the China’sDemographic Yearbook of 2016, used as the number of population in the baseperiod. It finds that the changes in health have a significant difference in genderand age. It also finds that under different health states, the distribution of durationof staying in each state in different gender and age groups shows a characteristicsimilar to the distribution of population size.

Suggested Citation

  • Cui Xiaodong & Zheng Yuhua, 2018. "Forecasting demand for long-term care based on multistate piecewise constant Markov process," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 10(1), pages 15-31.
    • Handle: RePEc:uii:journl:v:10:y:2018:i:1:p:15-31:id:9023
    as

    Download full text from publisher

    File URL: https://journal.uii.ac.id/JEP/article/view/9023/8071
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Gouveia, Catarina & Kalakou, Sofia & Cardoso-Grilo, Teresa, 2023. "How to forecast mental healthcare needs? Distinguishing between perceived and unperceived needs and their impact on capacity requirements," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

    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:uii:journl:v:10:y:2018:i:1:p:15-31:id:9023. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Ana Yuliani (email available below). General contact details of provider: https://journal.uii.ac.id/JEP/ .

    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.