IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa11p464.html
   My bibliography  Save this paper

A Study in Spanish Regions' Poverty: A New Methodological Perspective

Author

Listed:
  • José L. Calvo

    ()

  • Pedro Cortiñas
  • Cristina Sánchez

Abstract

The present article reviews poverty studies in Spanish Autonomous Communities using a new methodological approach. One of the main concerns in those studies is poverty concentration in specific Spanish Autonomous Communities. This can be the result of a bias due to use a unique national poverty line, since the circumstances of every family unit, specifically if it is poor or not, could be different depending on the Region it inhabited. In order to test this assertion we estimate a CHAID algorithm and CATPCA. The main conclusion of this analysis is that Spanish poverty is strongly influenced by regional differences. To correct this effect we define as Spanish poor households those that are, at the same time, under the national and regional poverty line. We call this group Real poverty. Finally, we calculate ten poverty indexes for this real poor population. The results show that it is no possible to categorize Spanish Autonomous Communities depending on poverty indexes, since they do not configure a specific distribution of those regions. On the contrary, every index establishes its own regional ordering. Therefore, we should introduce regional adjustments in data and focus in household characteristics –size, type, age, level of education…- to explain Spanish poverty. The information comes from the Spanish Survey on Income and Living Conditions (SILC) in 2008.

Suggested Citation

  • José L. Calvo & Pedro Cortiñas & Cristina Sánchez, 2011. "A Study in Spanish Regions' Poverty: A New Methodological Perspective," ERSA conference papers ersa11p464, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa11p464
    as

    Download full text from publisher

    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa11/e110830aFinal00464.pdf
    Download Restriction: no

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wiwrsa:ersa11p464. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier). General contact details of provider: http://www.ersa.org .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.