Issues in Measuring and Modelling Poverty
Economists have relied heavily on household incomes or expenditures normalized for differences in household specific prices and demographics in their research and policy advice related to poverty and inequality. Recognizing the conceptual and empirical problems that confound such measures does not mean that they should be ignored. Instead, it indicates the need for supplementary measures to capture the missing items. Implementing a genuinely multidimensional approach will often make the welfare rankings of social states more difficult, but that fact points to the nonrobustness of low-dimensional rankings. This may have its own policy ramifications, with the possibility of correspondence between policy instruments and welfare objectives. The model types used to understand the poverty and inequity determination processes will be affected. Not only will there be more dependent variables to consider, but variables will have potentially complex relationships. These relationships will often be hard to empirically disentangle, despite richer integrated and longitudinal data sets. Such data open rich andrelevant agenda for research into the dynamics of poverty along multiple dimensions. A simultaneous attack on these issues from all three fronts - measurement, modeling, and data - offers hope of establishing a credible empirical foundation for public action in fighting poverty.
(This abstract was borrowed from another version of this item.)
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.
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.
Volume (Year): 106 (1996)
Issue (Month): 438 (September)
|Contact details of provider:|| Postal: Office of the Secretary-General, Rm E35, The Bute Building, Westburn Lane, St Andrews, KY16 9TS, UK|
Phone: +44 1334 462479
Web page: http://www.res.org.uk/
More information through EDIRC
|Order Information:||Web: http://www.blackwellpublishers.co.uk/asp/journal.asp?ref=0013-0133|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ravallion, Martin, 1994. "Poverty rankings using noisy data on living standards," Economics Letters, Elsevier, vol. 45(4), pages 481-485, August.
When requesting a correction, please mention this item's handle: RePEc:ecj:econjl:v:106:y:1996:i:438:p:1328-43. 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: (Wiley-Blackwell Digital Licensing)or (Christopher F. Baum)
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.