Disentangling the relation between wealth and contraceptive use in India: a multilevel probit regression approach

Disentangling the relation between wealth and contraceptive use in India: a multilevel probit... This paper discusses the poverty-wealth impact on contraceptive use both at individual and community levels. A multilevel probit regression framework was set up to explain the use of contraceptive methods. We use data from the Indian 2005–06 National Family Health Survey (NFHS). It contains data on both the socio-demographic and health characteristics of Indian women, as well as an assembled measure of household wealth: the wealth index. The individual-level model confirms the association between contraceptive use and wealth. When controlling the community level, i.e. where the women live, the multilevel regression results show it has a significant effect on contraceptive use, explaining 19  % of the total variance. Finally, decomposing the wealth index at individual and community levels (average community wealth; individual centered wealth values), the effect of the community poverty-wealth level is significant and positive. To sum up, this framework of nested models reveals the significant effect of the community’s poverty-wealth dimension on each woman’s decision about contraception and suggests that the longstanding urban-rural differential in the contraceptive prevalence is mainly poverty-wealth driven. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Disentangling the relation between wealth and contraceptive use in India: a multilevel probit regression approach

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Publisher
Springer Journals
Copyright
Copyright © 2012 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-012-9820-2
Publisher site
See Article on Publisher Site

Abstract

This paper discusses the poverty-wealth impact on contraceptive use both at individual and community levels. A multilevel probit regression framework was set up to explain the use of contraceptive methods. We use data from the Indian 2005–06 National Family Health Survey (NFHS). It contains data on both the socio-demographic and health characteristics of Indian women, as well as an assembled measure of household wealth: the wealth index. The individual-level model confirms the association between contraceptive use and wealth. When controlling the community level, i.e. where the women live, the multilevel regression results show it has a significant effect on contraceptive use, explaining 19  % of the total variance. Finally, decomposing the wealth index at individual and community levels (average community wealth; individual centered wealth values), the effect of the community poverty-wealth level is significant and positive. To sum up, this framework of nested models reveals the significant effect of the community’s poverty-wealth dimension on each woman’s decision about contraception and suggests that the longstanding urban-rural differential in the contraceptive prevalence is mainly poverty-wealth driven.

Journal

Quality & QuantitySpringer Journals

Published: Dec 30, 2012

References

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