This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Consumption, health, gender, and poverty

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Case, Anne
Deaton, Angus

Additional information is available for the following registered author(s):

Abstract

Standard methods of measuring poverty assume that an individual is poor if he or she lives in a family whose income or consumption lies below an appropriate poverty line. Such methods provide only limited insight into male and female poverty separately. Nevertheless, there are reasons why household resources are linked to the gender composition of the household: women's earnings are often lower than men's; families in some countries control their fertility through differential stopping rules; and women live longer than men. It is also possible to link family expenditure patterns to the gender composition of the household, something the authors illustrate using data from India and South Africa. Such a procedure provides useful information on who gets what, but cannot tell us how total resources are allocated between males and females. More can be gleaned from data on consumption by individual household members,and for many goods, collecting such information is good survey practice in any case. Even so, it will be some time before such information can be used routinely to produce estimates of poverty by gender. A more promising approach is likely to come within a broader definition of poverty that includes health (and possibly education) as well as income. The authors discuss recent work on collecting self-reported measures of nonfatal health and argue that such measures are already useful for assessing the relative health status of males and females. The evidence is consistent with non-elderly women generally having poorer health than non-elderly men. The authors emphasize the importance of simultaneously measuring poverty in multiple dimensions. The different components of well-being are correlated, and it is misleading to look at any one in isolation from the others.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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: http://www-wds.worldbank.org/servlet/WDSContentServer/WDSP/IB/2003/05/23/000094946_03051404103231/Rendered/PDF/multi0page.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by The World Bank in its series Policy Research Working Paper Series with number 3020.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 30 Apr 2003
Date of revision:
Handle: RePEc:wbk:wbrwps:3020

Contact details of provider:
Postal: 1818 H Street, N.W., Washington, DC 20433
Email:
Web page: http://www.worldbank.org/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Roula I. Yazigi).

Related research
Keywords: Housing&Human Habitats; Public Health Promotion; Population&Development; Health Monitoring&Evaluation; Environmental Economics&Policies; Health Monitoring&Evaluation; Environmental Economics&Policies; Population&Development; Housing&Human Habitats; Poverty Lines;

Other versions of this item:

This paper has been announced in the following NEP Reports: Cited by:
(explanations, 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.)
  1. Anne Case & Angela Fertig & Christina Paxson, 2003. "From Cradle to Grave? The Lasting Impact of Childhood Health and Circumstance," NBER Working Papers 9788, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Marcelo Medeiros & Joana Simões Costa, 2005. "Poverty Among Women In Latin America: Feminization Or Over-Representation?," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33th Brazilian Economics Meeting] 150, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics]. [Downloadable!]
    Other versions:
  3. Koohi-Kamali, Feridoon, 2008. "Intrahousehold inequality and child gender bias in Ethiopia," Policy Research Working Paper Series 4755, The World Bank. [Downloadable!]
  4. Geeta Kingdon, 2004. "Where has all the bias gone? Detecting gender-bias in the household allocation of educational expenditure," Development and Comp Systems 0409037, EconWPA. [Downloadable!]
  5. Chaudhury, Nazmul & Hammer, Jeffrey & Murrugarra, Edmundo, 2003. "The effects of a fee-waiver program on health care utilization among the poor : evidence from Armenia," Policy Research Working Paper Series 2952, The World Bank. [Downloadable!]
  6. Patricia Justino, 2005. "Empirical Applications of Multidimensional Inequality Analysis," PRUS Working Papers 23, Poverty Research Unit at Sussex, University of Sussex. [Downloadable!]
  7. Rana Ejaz Ali Khan & Karamat Ali, 2005. "Bargaining Over Sons' and Daughters' Schooling-Probit Analysis of Household Behavior," HEW 0505002, EconWPA. [Downloadable!]
Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by providing information about publications in your institution.

This page was last updated on 2009-12-11.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.