IDEAS home Printed from https://ideas.repec.org/h/eme/reinzz/s1049-258520210000029002.html
   My bibliography  Save this book chapter

Multilateral Wellbeing and Inequality Measurement with Ordered Categorical Data: Health, Consumption and the Aging Process in China

In: Research on Economic Inequality: Poverty, Inequality and Shocks

Author

Listed:
  • Gordon Anderson
  • Rui Fu

Abstract

Wellbeing evaluation using ordered categorical response data is hazardous given the scale dependent nature of most measures of wellbeing and inequality. Here, scale independent instruments for measuring levels of wellbeing and inequalities between groups in multidimensional ordered categorical environments are introduced and applied in a study of health and consumption wellbeing and the aging process in twenty‐first century China. Urban/rural location, gender, age and the availability of welfare support were considered circumstances in what is in essence a study of equality of opportunity in the acquisition of health and consumption wellbeing in Chinas’ aging population. Older populations are found to experience diminished and increasingly diverse wellbeing outcomes that are, to some extent, ameliorated by welfare support.

Suggested Citation

  • Gordon Anderson & Rui Fu, 2021. "Multilateral Wellbeing and Inequality Measurement with Ordered Categorical Data: Health, Consumption and the Aging Process in China," Research on Economic Inequality, in: Research on Economic Inequality: Poverty, Inequality and Shocks, volume 29, pages 5-30, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:reinzz:s1049-258520210000029002
    DOI: 10.1108/S1049-258520210000029002
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1049-258520210000029002/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1049-258520210000029002/full/epub?utm_source=repec&utm_medium=feed&utm_campaign=repec&title=10.1108/S1049-258520210000029002
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1049-258520210000029002/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/S1049-258520210000029002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    More about this item

    Keywords

    Wellbeing measurement; ordering distributions; ordinal data; China; aging process; inequality; C14; I14; I30; I31;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

    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:eme:reinzz:s1049-258520210000029002. 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: Emerald Support (email available below). General contact details of provider: .

    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.