IDEAS home Printed from
   My bibliography  Save this paper

A Note on Identifying and Measuring Inclusive and Sufficientarian Growth in Ordered Categorical Outcome Environments


  • Gordon Anderson


Much of a societies growth and development depends upon ordered categorical variates that are not cardinally measurable, which, in the light of recent work on artificial cardinalization of ordinal variates, makes the quantification of growth in these aspects challenging. Here the notion of probabilistic distance is employed to develop growth measures in multidimensional ordered categorical environments which are analogous to their counterparts in cardinally measured paradigms. Techniques for measuring and identifying particular growth typologies together with inference procedures are outlined.

Suggested Citation

  • Gordon Anderson, 2023. "A Note on Identifying and Measuring Inclusive and Sufficientarian Growth in Ordered Categorical Outcome Environments," Working Papers tecipa-746, University of Toronto, Department of Economics.
  • Handle: RePEc:tor:tecipa:tecipa-746

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item


    Growth; Inclusivity; Sufficientarianism; Ordinal Information; Probabilistic Distance;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • I0 - Health, Education, and Welfare - - General
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity


    Access and download statistics


    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:tor:tecipa:tecipa-746. 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: RePEc Maintainer (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.