A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh

It has been projected that the world population will reach to nine billion by 2050. This alarming growth of population is mainly driven by fertility. The fertility rates in developed countries are close to or even below the replacement levels, while the rates in the developing countries in Asia are...

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Main Authors: Sarkar, Saroje Kumar, Midi, Habshah
Format: Article
Published: EuroJournals 2009
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author Sarkar, Saroje Kumar
Midi, Habshah
author_facet Sarkar, Saroje Kumar
Midi, Habshah
author_sort Sarkar, Saroje Kumar
collection UPM
description It has been projected that the world population will reach to nine billion by 2050. This alarming growth of population is mainly driven by fertility. The fertility rates in developed countries are close to or even below the replacement levels, while the rates in the developing countries in Asia are still much higher. Bangladesh has achieved a remarkable success in family planning programs and thereby controlling population growth without much change in socio-economic conditions but yet does not reach at the replacement level fertility. This study focused on the situation regarding sex preference among the women in Bangladesh and the results suggest a higher risk of sex preference on desire for more children. Sex preference is also significant barrier of further fertility decline in the country. To find the adjusted estimate of the sex preference on desire for more children the study have utilized the logistic regression and stratified classical approaches. The sophisticated logistic regression approach provides a fast, effective and efficient estimate and test for the stratified odds ratio than those obtained from the classical approach.
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spelling upm.eprints-126632015-05-29T04:28:54Z http://psasir.upm.edu.my/id/eprint/12663/ A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh Sarkar, Saroje Kumar Midi, Habshah It has been projected that the world population will reach to nine billion by 2050. This alarming growth of population is mainly driven by fertility. The fertility rates in developed countries are close to or even below the replacement levels, while the rates in the developing countries in Asia are still much higher. Bangladesh has achieved a remarkable success in family planning programs and thereby controlling population growth without much change in socio-economic conditions but yet does not reach at the replacement level fertility. This study focused on the situation regarding sex preference among the women in Bangladesh and the results suggest a higher risk of sex preference on desire for more children. Sex preference is also significant barrier of further fertility decline in the country. To find the adjusted estimate of the sex preference on desire for more children the study have utilized the logistic regression and stratified classical approaches. The sophisticated logistic regression approach provides a fast, effective and efficient estimate and test for the stratified odds ratio than those obtained from the classical approach. EuroJournals 2009-09 Article PeerReviewed Sarkar, Saroje Kumar and Midi, Habshah (2009) A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh. European Journal of Scientific Research, 35 (4). pp. 623-632. ISSN 1450-216X; ESSN: 1450-202X
spellingShingle Sarkar, Saroje Kumar
Midi, Habshah
A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh
title A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh
title_full A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh
title_fullStr A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh
title_full_unstemmed A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh
title_short A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh
title_sort comparative study of logistic regression approach and stratified classical analysis on desire for children in bangladesh
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AT midihabshah acomparativestudyoflogisticregressionapproachandstratifiedclassicalanalysisondesireforchildreninbangladesh
AT sarkarsarojekumar comparativestudyoflogisticregressionapproachandstratifiedclassicalanalysisondesireforchildreninbangladesh
AT midihabshah comparativestudyoflogisticregressionapproachandstratifiedclassicalanalysisondesireforchildreninbangladesh