IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/2158.html
   My bibliography  Save this paper

Robustness properties of poverty indices

Author

Listed:
  • Cowell, Frank
  • Victoria-Feser, Maria-Pia

Abstract

Drawing on recent work concerning the statistical robustness of inequality statistics we examine the sensitivity of poverty indices to data contamination using the concept of the influence function. We show that poverty and inequality indices have fundamentally different robustness properties, and demonstrate that an imporrtant commonly used subclass of poverty measures will be robust under data conta m ination. We investigate both the case where the poverty line is exogenenously fixed and where it must be estimated from the data.

Suggested Citation

  • Cowell, Frank & Victoria-Feser, Maria-Pia, 1994. "Robustness properties of poverty indices," LSE Research Online Documents on Economics 2158, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:2158
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/2158/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. DECERF, Benoit, 2014. "Income poverty measures with relative poverty lines," LIDAM Discussion Papers CORE 2014022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 1996. "Poverty measurement with contaminated data: A robust approach," European Economic Review, Elsevier, vol. 40(9), pages 1761-1771, December.
    3. Decerf, B., 2015. "A new index combining the absolute and relative aspects of income poverty: Theory and application," LIDAM Discussion Papers CORE 2015050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    More about this item

    Keywords

    Poverty; inequality; robustness; influence function;
    All these keywords.

    JEL classification:

    • D6 - Microeconomics - - Welfare Economics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

    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:ehl:lserod:2158. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.