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Determinants of desire for children: a multinomial logistic regression approach


Rana, Md. Sohel and Midi, Habshah and Sarkar, Saroje Kumar (2013) Determinants of desire for children: a multinomial logistic regression approach. Life Science Journal, 10 (2). pp. 1460-1467. ISSN 1097-8135; ESSN: 2372-613X


World population is a serious dilemma that is growing very fast. Most of the current global crises are the consequences of overpopulation. Overpopulation can result from growth rates driven by high fertility rates. Most of alarming growths are occurring in some Asian countries including Bangladesh. Recent trend of fertility decline in Bangladesh is not enough to attain stable population. The aim of this study is to isolate potential determinants of desire for more children and provide recommendations to eradicate them and accelerating fertility decline to achieve replacement level. Multinomial logit approach efficiently determined few key covariates namely child’s sex preference, professional status, wealth index and residential places of women that are significantly associated with high fertility. Since the potential covariates marked here largely depend on female literacy. Thus the policy makers should pay their attention to ensure the female education and involve them in the workforce to enhance women’s status. Female literacy can reduce poverty and discrimination between sons and daughters to eliminate societal attitudes toward sex preference and resume the further fertility decline.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.7537/marslsj100213.198
Publisher: Marsland Press
Keywords: Multinomial logit; Nominal responses; Baseline category; Sex preference; Wald test
Depositing User: Umikalthom Abdullah
Date Deposited: 24 Sep 2014 01:19
Last Modified: 01 Jun 2018 01:44
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.7537/marslsj100213.198
URI: http://psasir.upm.edu.my/id/eprint/30342
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