IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

A parametric model for estimating fuzzy poverty measures and their standard errors

Listed author(s):
  • Betti Gianni
  • D'Agostino Antonella
  • Lemmi Achille
  • Quintano Claudio

In this paper we propose a parametric model for the membership function that is usually defined in the fuzzy approach to poverty analysis called IFR (Integrated Fuzzy and Relative). Our proposal may be added to the present literature because we are interested to the overall shape of the membership function instead of using only empirical average values as is usually done. This approach allows us to give an economic interpretation of the parameters involved in the theoretical distribution that makes the comparison between monetary and non monetary indicators and among several populations easier. Empirical results show significant differences in monetary and non-monetary poverty between Southern and Northern regions in Italy.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Access to full text is restricted to subscribers

File URL:
Download Restriction: no

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Società editrice il Mulino in its journal Politica economica.

Volume (Year): (2009)
Issue (Month): 3 ()
Pages: 279-300

in new window

Handle: RePEc:mul:je8794:doi:10.1429/30790:y:2009:i:3:p:279-300
Contact details of provider: Web page:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:mul:je8794:doi:10.1429/30790:y:2009:i:3:p:279-300. 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: ()

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.