IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v492y2018icp1317-1326.html
   My bibliography  Save this article

Inequality measures for wealth distribution: Population vs individuals perspective

Author

Listed:
  • Pascoal, R.
  • Rocha, H.

Abstract

Economic inequality is, nowadays, frequently perceived as following a growing trend with impact on political and religious agendas. However, there is a wide range of inequality measures, each of which pointing to a possibly different degree of inequality. Furthermore, regardless of the measure used, it only acknowledges the momentary population inequality, failing to capture the individuals evolution over time. In this paper, several inequality measures were analyzed in order to compare the typical single time instant degree of wealth inequality (population perspective) to the one obtained from the individuals’ wealth mean over several time instants (individuals perspective). The proposed generalization of a simple addictive model, for limited time average of individual’s wealth, allows us to verify that the typically used inequality measures for a given snapshot instant of the population significantly overestimate the individuals’ wealth inequality over time. Moreover, that is more extreme for the ratios than for the indices analyzed.

Suggested Citation

  • Pascoal, R. & Rocha, H., 2018. "Inequality measures for wealth distribution: Population vs individuals perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1317-1326.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:1317-1326
    DOI: 10.1016/j.physa.2017.11.059
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711731141X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2017.11.059?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.

    Citations

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


    Cited by:

    1. Angela Ujunwa & Chinwe Okoyeuzu & Nelson Nkwor & Augustine Ujunwa, 2021. "Potential Impact of Climate Change and Armed Conflict on Inequality in Sub‐Saharan Africa," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 480-498, December.

    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:eee:phsmap:v:492:y:2018:i:c:p:1317-1326. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.