Partial Identification of Poverty Measures with Contaminated Data
Much of the statistical analysis for poverty measurement regards the data employed to estimate poverty statistics as error-free observations. However, it is amply recognized that surveys responses are not perfectly reliable and that the quality of the data is often poor, especially for developing countries. Robust estimation addresses this problem by searching for poverty measures that are not highly sensitive to errors in the data. However, given the assumptions of robust estimation, the rationale for point estimation is not apparent. In the present study we tackle the problem by implementing a different strategy. Since a particular poverty measure is not point identified under the assumptions of robust estimation and some outcomes that are possible ex ante are ruled out ex post, we apply a fully non-parametric method to show that for the family of additively separable poverty measures it is possible to find identification regions under very mild assumptions. We investigate the sensitivity of the bounds of these identification regions to contamination for the class of Pa poverty measures, showing that there exists an a-ordering for the elasticities of these bounds with respect to the amount of contamination. We apply two conceptually different confidence intervals for partially identified poverty measures: the first type of confidence interval covers the entire identification region, while the other covers each element of the identification region with fixed probability. The methodology developed in the paper is applied to analyze rural poverty in Mexico
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" 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.
|Date of creation:||11 Aug 2004|
|Date of revision:|
|Contact details of provider:|| Phone: 1 212 998 3820|
Fax: 1 212 995 4487
Web page: http://www.econometricsociety.org/pastmeetings.asp
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ecm:latm04:221. 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: (Christopher F. Baum)
If references are entirely missing, you can add them using this form.