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A Methodology to Analyse the Intersections of Social Inequalities in Health
Authors: Gita Sen<sup>a</sup>; Aditi Iyer<sup>b</sup>; Chandan Mukherjee<sup>c</sup> (Show Biographies)
<table cellpadding="0" cellspacing="0"> <tbody><tr valign="top"> <td> Affiliations: </td> <td><sup>a</sup> Centre for Public Policy, Indian Institute of Management, Bangalore, India</td></tr> <tr> <td>
</td> <td><sup>b</sup> Indian Institute of Management, Bangalore, India</td> </tr> <tr> <td>
</td> <td><sup>c</sup> Centre for Development Studies, Trivandrum, India</td> </tr> </tbody></table>
DOI: 10.1080/19452820903048894
Publication Frequency: 4 issues per year
<!-- --> Published in:
Journal of Human Development and Capabilities, Volume 10, Issue 3 November 2009 , pages 397 - 415
Subjects: Development Economics; Development Policy; Development Studies; Economics and Development; Political Research Methods;
Formats available: HTML (English) : PDF (English)
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Previously published as: Journal of Human Development (1464-9888, 1469-9516) until 2009
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<table cellpadding="0" cellspacing="0" width="100%"><tbody><tr> <td> Abstract
An important issue for health policy and planning is the way in which multiple sources of disadvantage, such as class, gender, caste, race, ethnicity, and so forth, work together to influence health. Although 'intersectionality' is a topic for which there is growing interest and evidence, several questions as yet remain unanswered. These gaps partly reflect limitations in the quantitative methods used to study intersectionality in health, even though the techniques used to analyse health inequalities as separable processes can be sophisticated. In this paper, we discuss a method we developed to analyse the intersections between different social inequalities, including a technique to test for differences along the entire span of the social spectrum, not just between the extremes. We show how this method can be applied to the analysis of intersectionality in access to healthcare, using cross-sectional data in Koppal, one of the poorest districts in Karnataka, India.
</td> </tr> <tr class="keywords"> <td> Keywords: Intersectionality; Social inequalities; Gender; Economic class; Methodology; Health; Karnataka; India </td></tr></tbody></table>
Authors: Gita Sen<sup>a</sup>; Aditi Iyer<sup>b</sup>; Chandan Mukherjee<sup>c</sup> (Show Biographies)
<table cellpadding="0" cellspacing="0"> <tbody><tr valign="top"> <td> Affiliations: </td> <td><sup>a</sup> Centre for Public Policy, Indian Institute of Management, Bangalore, India</td></tr> <tr> <td>
</td> <td><sup>b</sup> Indian Institute of Management, Bangalore, India</td> </tr> <tr> <td>
</td> <td><sup>c</sup> Centre for Development Studies, Trivandrum, India</td> </tr> </tbody></table>
DOI: 10.1080/19452820903048894
Publication Frequency: 4 issues per year
<!-- --> Published in:
Journal of Human Development and Capabilities, Volume 10, Issue 3 November 2009 , pages 397 - 415 Subjects: Development Economics; Development Policy; Development Studies; Economics and Development; Political Research Methods;
Formats available: HTML (English) : PDF (English)
You have: <!--start-include file /home/mpp/www/unocommon/sess-templates/incl/icons/freeaccess.inc-->
FREE ACCESS <!--end-include file /home/mpp/www/unocommon/sess-templates/incl/icons/freeaccess.inc-->
Previously published as: Journal of Human Development (1464-9888, 1469-9516) until 2009
Article Requests: Order Reprints : Request Permissions
<!--end-include file /home/mpp/www/unocommon/sess-templates/incl/metahead.inc--> View Full Text Article
Download PDF (~207 KB) View Article Online (HTML) <table cellpadding="0" cellspacing="0" width="100%"><tbody><tr> <td> Abstract
An important issue for health policy and planning is the way in which multiple sources of disadvantage, such as class, gender, caste, race, ethnicity, and so forth, work together to influence health. Although 'intersectionality' is a topic for which there is growing interest and evidence, several questions as yet remain unanswered. These gaps partly reflect limitations in the quantitative methods used to study intersectionality in health, even though the techniques used to analyse health inequalities as separable processes can be sophisticated. In this paper, we discuss a method we developed to analyse the intersections between different social inequalities, including a technique to test for differences along the entire span of the social spectrum, not just between the extremes. We show how this method can be applied to the analysis of intersectionality in access to healthcare, using cross-sectional data in Koppal, one of the poorest districts in Karnataka, India.
</td> </tr> <tr class="keywords"> <td> Keywords: Intersectionality; Social inequalities; Gender; Economic class; Methodology; Health; Karnataka; India </td></tr></tbody></table>
