Relationships between infant mortality, birth spacing and fertility in Matlab, Bangladesh.

Although research on the fertility response to childhood mortality is widespread in demographic literature, very few studies focused on the two-way causal relationships between infant mortality and fertility. Understanding the nature of such relationships is important in order to design effective po...

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Main Authors: Arthur van Soest, Unnati Rani Saha
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5922575?pdf=render
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spelling doaj-832bb7556ebe40b394fbadf9985e03592020-11-25T02:25:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01134e019594010.1371/journal.pone.0195940Relationships between infant mortality, birth spacing and fertility in Matlab, Bangladesh.Arthur van SoestUnnati Rani SahaAlthough research on the fertility response to childhood mortality is widespread in demographic literature, very few studies focused on the two-way causal relationships between infant mortality and fertility. Understanding the nature of such relationships is important in order to design effective policies to reduce child mortality and improve family planning. In this study, we use dynamic panel data techniques to analyse the causal effects of infant mortality on birth intervals and fertility, as well as the causal effects of birth intervals on mortality in rural Bangladesh, accounting for unobserved heterogeneity and reverse causality. Simulations based upon the estimated model show whether (and to what extent) mortality and fertility can be reduced by breaking the causal links between short birth intervals and infant mortality. We find a replacement effect of infant mortality on total fertility of about 0.54 children for each infant death in the comparison area with standard health services. Eliminating the replacement effect would lengthen birth intervals and reduce the total number of births, resulting in a fall in mortality by 2.45 children per 1000 live births. These effects are much smaller in the treatment area with extensive health services and information on family planning, where infant mortality is smaller, birth intervals are longer, and total fertility is lower. In both areas, we find evidence of boy preference in family planning.http://europepmc.org/articles/PMC5922575?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Arthur van Soest
Unnati Rani Saha
spellingShingle Arthur van Soest
Unnati Rani Saha
Relationships between infant mortality, birth spacing and fertility in Matlab, Bangladesh.
PLoS ONE
author_facet Arthur van Soest
Unnati Rani Saha
author_sort Arthur van Soest
title Relationships between infant mortality, birth spacing and fertility in Matlab, Bangladesh.
title_short Relationships between infant mortality, birth spacing and fertility in Matlab, Bangladesh.
title_full Relationships between infant mortality, birth spacing and fertility in Matlab, Bangladesh.
title_fullStr Relationships between infant mortality, birth spacing and fertility in Matlab, Bangladesh.
title_full_unstemmed Relationships between infant mortality, birth spacing and fertility in Matlab, Bangladesh.
title_sort relationships between infant mortality, birth spacing and fertility in matlab, bangladesh.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description Although research on the fertility response to childhood mortality is widespread in demographic literature, very few studies focused on the two-way causal relationships between infant mortality and fertility. Understanding the nature of such relationships is important in order to design effective policies to reduce child mortality and improve family planning. In this study, we use dynamic panel data techniques to analyse the causal effects of infant mortality on birth intervals and fertility, as well as the causal effects of birth intervals on mortality in rural Bangladesh, accounting for unobserved heterogeneity and reverse causality. Simulations based upon the estimated model show whether (and to what extent) mortality and fertility can be reduced by breaking the causal links between short birth intervals and infant mortality. We find a replacement effect of infant mortality on total fertility of about 0.54 children for each infant death in the comparison area with standard health services. Eliminating the replacement effect would lengthen birth intervals and reduce the total number of births, resulting in a fall in mortality by 2.45 children per 1000 live births. These effects are much smaller in the treatment area with extensive health services and information on family planning, where infant mortality is smaller, birth intervals are longer, and total fertility is lower. In both areas, we find evidence of boy preference in family planning.
url http://europepmc.org/articles/PMC5922575?pdf=render
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