Chaudhuri, K orcid.org/0000-0002-7492-1369 and Yalonetzky, G orcid.org/0000-0003-2438-0223 (2018) The state of female autonomy in India: A stochastic dominance approach. Journal of Development Studies, 54 (8). pp. 1338-1353. ISSN 0022-0388
Abstract
The promotion of female autonomy is both intrinsically and instrumentally desirable. We document differences in the distribution of female autonomy in India (using the National Family Health Survey 2005–2006) addressing two methodological challenges: the multidimensional nature of the concept and its frequent measurement with ordinal variables (which are not amenable to direct comparisons of social averages). We tackle these challenges with three methods based on stochastic dominance techniques suited for ordinal and dichotomous variables. Whenever these dominance conditions hold for a pairwise comparison, we can conclude that the multidimensional autonomy distribution in one state is more desirable than in another one across a broad range of criteria for the individual and social welfare evaluation of autonomy. Consistently across the three methods, we find that most of the states with better autonomy distributions (in pairwise comparisons) come from the north east and the south, whereas most of the states with worse autonomy distributions come from the north.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Development Studies on 26 December 2017, available online: http://www.tandfonline.com/10.1080/00220388.2017.1414186. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Economics Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jul 2017 10:29 |
Last Modified: | 26 Jun 2019 00:38 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/00220388.2017.1414186 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118710 |