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! ]

Are Married Women More Deprived than Their Husbands?

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Sara Cantillon (Department of the Taoiseach, Ireland)
Brian Nolan (Economic and Social Research Institute (ESRI))

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

Abstract

Conventional methods of analysis of poverty assume resources are shared so that each individual in a household/family has the same standard of living. This paper measures differences between spouses in a large sample in indicators of deprivation of the type used in recent studies of poverty at household level. The quite limited overall imbalance in measured deprivation in favour of husbands suggests that applying such indicators to individuals will not reveal a substantial reservoir of hidden poverty among wives in non-poor households, nor much greater deprivation among women than men in poor households. This points to the need to develop more sensitive indicators of deprivation designed to measure individual living standards and poverty status, which can fit the framework of traditional poverty research using large samples. It also highlights the need for clarification of the underlying poverty concept.

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.esri.ie/UserFiles/publications/20071113113308/WP073.pdf
File Format: application/pdf
File Function: First version, 1996
Download Restriction: no

Publisher Info
Paper provided by Economic and Social Research Institute (ESRI) in its series Papers with number WP073.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 42 pages
Date of creation: Feb 1996
Date of revision:
Handle: RePEc:esr:wpaper:wp073

Contact details of provider:
Postal: Whitaker Square, Sir John Rogerson's Quay, Dublin 2
Phone: (353-1) 863 2000
Fax: (353-1) 863 2100
Email:
Web page: http://www.esri.ie
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Sarah Burns).

Related research
Keywords:

Other versions of this item:

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. Brian Nolan & Gerard Hughes, 1997. "Low Pay, the Earnings Distribution and Poverty in Ireland, 1987-1994: Paper for LOWER Conference on Problems of Low-Wage Employment 31 January - 1 February, Bordeaux," Papers WP084, Economic and Social Research Institute (ESRI). [Downloadable!]
  2. Brian Nolan & Bertrand Maitre, 1999. "The Distribution of Income and Relative Income Poverty in the European Community Household Panel," Papers WP107, Economic and Social Research Institute (ESRI). [Downloadable!]
  3. Brian Nolan & Bertrand Maitre, 2000. "A Comparative Perspective on Trends in Income Inequality in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 31(4), pages 329-350. [Downloadable!]
Statistics
Access and download statistics

Did you know? IDEAS uses the data collected within the RePEc project, the largest online bibliographic database in Economics.

This page was last updated on 2009-12-21.


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.