Literature DB >> 23866167

Determinants of pregnancy and induced and spontaneous abortion in a jointly determined framework: evidence from a country-wide, district-level household survey in India.

Salma Ahmed1, Ranjan Ray2.   

Abstract

This study provides evidence on the principal determinants of pregnancy and abortion in India using a large country-wide district-level data set (DLHS 2007). The paper provides an economic framework for the analysis of pregnancy and abortion. The study distinguishes between induced and spontaneous abortion and compares the effects of their determinants. The results show that there are wide differences between induced and spontaneous abortions in terms of the sign and magnitude of the estimated effects of several of their determinants, most notably wealth, the woman's age and her desire for children. The study makes a methodological contribution by proposing a trivariate probit estimation framework that recognizes the joint dependence of pregnancy and induced and spontaneous abortion, and provides evidence in support of this joint dependence. The study reports an inverted U-shaped effect of a woman's age on her pregnancy and both forms of abortion. The turning point in each case is quite robust to the estimation framework. A significant effect of contextual variables, at the village level, constructed from the individual responses, on a woman's pregnancy is found. The effects are weaker in the case of induced abortion, and insignificant in the case of spontaneous abortion. The results are shown to be fairly robust. This paper extends the literature on the relation between son preference and fertility by examining the link between mother's son preference and desire for more children with abortion rates.

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Year:  2013        PMID: 23866167     DOI: 10.1017/S0021932013000369

Source DB:  PubMed          Journal:  J Biosoc Sci        ISSN: 0021-9320


  3 in total

1.  Effect of socio-cultural factors on spontaneous abortion in Burdur, Turkey: A population based case-control study.

Authors:  Binali Catak; Can Oner; Sevinc Sutlu; Selcuk Kilinc
Journal:  Pak J Med Sci       Date:  2016 Sep-Oct       Impact factor: 1.088

2.  Count data regression modeling: an application to spontaneous abortion.

Authors:  Prashant Verma; Prafulla Kumar Swain; Kaushalendra Kumar Singh; Mukti Khetan
Journal:  Reprod Health       Date:  2020-07-08       Impact factor: 3.223

3.  Prevalence and determinants of menstrual regulation among ever-married women in Bangladesh: evidence from a national survey.

Authors:  Juwel Rana; Kanchan Kumar Sen; Toufica Sultana; Mohammad Bellal Hossain; Rakibul M Islam
Journal:  Reprod Health       Date:  2019-08-14       Impact factor: 3.223

  3 in total

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