Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia

Desalegn Dargaso Dana

doi:doi:10.11648/j.sjams.20180603.11

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Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia

Desalegn Dargaso Dana

Published in Science Journal of Applied Mathematics and Statistics (Volume 6, Issue 3)

Received: 26 March 2018 Accepted: 12 April 2018 Published: 1 June 2018

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Abstract

Fertility is one of the elements in population dynamics that has a significant contribution towards changing population size and structure overtime. The aim of objective of this study is to identify Demographic, Socio-economic, and Cultural factors that affect Fertility level among women of childbearing age in Ethiopia. The data for this study were taken from Ethiopia Demographic and Health Survey conducted in 2011 (EDHS2011). For modelling purpose binary logistic regression was used and data were analyzed using SPSS Version16. The total number of women in childbearing age is based on10,897 women who have at least one child and whose age ranges from15 to 49 years. Among these, 8130 (74.6%) reside in rural areas where as 2767 (25.4%) reside in urban hubs. Among those individuals 64.2% were currently not working and the remaining 35.8% of the respondent were categorized under currently working group. In relation to age at first Cohabitation, about 37.7% of individuals were fail under 15-17 interval of age category and 34.5% of respondent were greater than or equal to 18 years old. The majority of individuals were married 8621 (79.1%), followed by divorced and living with partner (716 (6.6%) and living with partner 588 (5.4%) respectively). In the analyses, all the variables Region, women educational level, wealth index, husband’s/partner’s educational level, marital status, age at first cohabitation and age in 5-years group were found to have significant effect on total number of child ever born at significance level of 5%. From the fitted logistic regression model, the estimates odds ratio displayed in table 5, for the variable region reference category is Addis Ababa. The value of the odds ratio for region that the odds of having TCEB greater than or equals to five children for Tigray region is have 38.4% more than those individuals in Addis Ababa (OR=1.384, C.I=1.055-1.810) and its effect is statistically significant.

Published in	Science Journal of Applied Mathematics and Statistics (Volume 6, Issue 3)
DOI	10.11648/j.sjams.20180603.11
Page(s)	65-73
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Fertility, Total Children Ever Born, EDHS, Binary Logistic Regression Analysis

References

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[2]	Oluwayemisi O Alaba, Olusanya E Olubusoye & JO Olaomi (2017) Spatial patterns and determinants of fertility levels among women of childbearing age in Nigeria, South African Family Practice, 59:4, 143-147.
[3]	Dieudonne Ndaruhuye Muhoza, Annelet Broekhuis,and Pieter Hooimeijer. Variations in Desired Family Size and Excess Fertility in East Africa. International Journal of Population Research Volume 2014, Article ID 486079.
[4]	Tewodros T. Cross Sectional Study of Women Employment and Fertility in Ethiopia, 2011; 1-63.
[5]	Yohannes F., Yimane B., Alemayehu W. Impact of Child Mortality and Fertility on Fertility Status in Rural Ethiopia. East Africa Medical Journal, 2004.81(6): 301-305.
[6]	Samson Gebremedhin and MulugetaBetre, Level and Differentials of Fertility in Hwassa Town, Southern Ethiopia, 2009: Afr J Reprod Health 13(1):93-112.
[7]	CSA (2011). Ethiopia Demographic and Health Survey Reports. Addis Ababa, Ethiopia.
[8]	McCullagh, P. and Nelder, J. A. (1989) Generalized Linear Models, Chapman and Hall, London.
[9]	Hosmer, D.W., S. Taber and S. Lemeshow (1991). The Importance Assessing the Fit of Logistic Regression Models: A Case Study. Am. J. Public Health, 81: 1630-1635.
[10]	R Ramesh A. 2010. Demographic, socio-economic and cultural factors affecting fertility differential in Nepal. Geography and Population Department, Tribhuvan Universty, Kathmndul, Nepal.
[11]	Sharma S. 1998. Relationship between gender of existing children and desire for additional children by Nepalese women. Master’s Thesis, Institute for Population and Social Research, Mahidol University.
[12]	Abdul Hakim, 1994.Factors affecting fertility in Pakistan. The Pakistan Development Review 33(4): 685-709
[13]	Mokshed, Ali 2000. The effect of selected socio-demographic characteristics on desire for additional children among couples in Bangladesh. Mahidol Universty.
[14]	Tewodros Alemayehu, Jemal Haider and Dereje Habte 2010. Determinants of adolescent fertility in Ethiopia. Ethiop. J. Health Dev. 24(1):30-38.

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APA Style

Desalegn Dargaso Dana. (2018). Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia. Science Journal of Applied Mathematics and Statistics, 6(3), 65-73. https://doi.org/10.11648/j.sjams.20180603.11

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ACS Style

Desalegn Dargaso Dana. Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia. Sci. J. Appl. Math. Stat. 2018, 6(3), 65-73. doi: 10.11648/j.sjams.20180603.11

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AMA Style

Desalegn Dargaso Dana. Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia. Sci J Appl Math Stat. 2018;6(3):65-73. doi: 10.11648/j.sjams.20180603.11

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@article{10.11648/j.sjams.20180603.11,
  author = {Desalegn Dargaso Dana},
  title = {Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {6},
  number = {3},
  pages = {65-73},
  doi = {10.11648/j.sjams.20180603.11},
  url = {https://doi.org/10.11648/j.sjams.20180603.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20180603.11},
  abstract = {Fertility is one of the elements in population dynamics that has a significant contribution towards changing population size and structure overtime. The aim of objective of this study is to identify Demographic, Socio-economic, and Cultural factors that affect Fertility level among women of childbearing age in Ethiopia. The data for this study were taken from Ethiopia Demographic and Health Survey conducted in 2011 (EDHS2011). For modelling purpose binary logistic regression was used and data were analyzed using SPSS Version16. The total number of women in childbearing age is based on10,897 women who have at least one child and whose age ranges from15 to 49 years. Among these, 8130 (74.6%) reside in rural areas where as 2767 (25.4%) reside in urban hubs. Among those individuals 64.2% were currently not working and the remaining 35.8% of the respondent were categorized under currently working group. In relation to age at first Cohabitation, about 37.7% of individuals were fail under 15-17 interval of age category and 34.5% of respondent were greater than or equal to 18 years old. The majority of individuals were married 8621 (79.1%), followed by divorced and living with partner (716 (6.6%) and living with partner 588 (5.4%) respectively). In the analyses, all the variables Region, women educational level, wealth index, husband’s/partner’s educational level, marital status, age at first cohabitation and age in 5-years group were found to have significant effect on total number of child ever born at significance level of 5%. From the fitted logistic regression model, the estimates odds ratio displayed in table 5, for the variable region reference category is Addis Ababa. The value of the odds ratio  for region that the odds of having TCEB greater than or equals to five children for Tigray region is have 38.4% more than those individuals in Addis Ababa (OR=1.384, C.I=1.055-1.810) and its effect is statistically significant.},
 year = {2018}
}

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TY  - JOUR
T1  - Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia
AU  - Desalegn Dargaso Dana
Y1  - 2018/06/01
PY  - 2018
N1  - https://doi.org/10.11648/j.sjams.20180603.11
DO  - 10.11648/j.sjams.20180603.11
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 65
EP  - 73
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20180603.11
AB  - Fertility is one of the elements in population dynamics that has a significant contribution towards changing population size and structure overtime. The aim of objective of this study is to identify Demographic, Socio-economic, and Cultural factors that affect Fertility level among women of childbearing age in Ethiopia. The data for this study were taken from Ethiopia Demographic and Health Survey conducted in 2011 (EDHS2011). For modelling purpose binary logistic regression was used and data were analyzed using SPSS Version16. The total number of women in childbearing age is based on10,897 women who have at least one child and whose age ranges from15 to 49 years. Among these, 8130 (74.6%) reside in rural areas where as 2767 (25.4%) reside in urban hubs. Among those individuals 64.2% were currently not working and the remaining 35.8% of the respondent were categorized under currently working group. In relation to age at first Cohabitation, about 37.7% of individuals were fail under 15-17 interval of age category and 34.5% of respondent were greater than or equal to 18 years old. The majority of individuals were married 8621 (79.1%), followed by divorced and living with partner (716 (6.6%) and living with partner 588 (5.4%) respectively). In the analyses, all the variables Region, women educational level, wealth index, husband’s/partner’s educational level, marital status, age at first cohabitation and age in 5-years group were found to have significant effect on total number of child ever born at significance level of 5%. From the fitted logistic regression model, the estimates odds ratio displayed in table 5, for the variable region reference category is Addis Ababa. The value of the odds ratio  for region that the odds of having TCEB greater than or equals to five children for Tigray region is have 38.4% more than those individuals in Addis Ababa (OR=1.384, C.I=1.055-1.810) and its effect is statistically significant.
VL  - 6
IS  - 3
ER  -

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Author Information

Desalegn Dargaso Dana

Department of Statistics, College of Natural and Computational Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia

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APA Style

Desalegn Dargaso Dana. (2018). Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia. Science Journal of Applied Mathematics and Statistics, 6(3), 65-73. https://doi.org/10.11648/j.sjams.20180603.11

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ACS Style

Desalegn Dargaso Dana. Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia. Sci. J. Appl. Math. Stat. 2018, 6(3), 65-73. doi: 10.11648/j.sjams.20180603.11

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AMA Style

Desalegn Dargaso Dana. Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia. Sci J Appl Math Stat. 2018;6(3):65-73. doi: 10.11648/j.sjams.20180603.11

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@article{10.11648/j.sjams.20180603.11,
  author = {Desalegn Dargaso Dana},
  title = {Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {6},
  number = {3},
  pages = {65-73},
  doi = {10.11648/j.sjams.20180603.11},
  url = {https://doi.org/10.11648/j.sjams.20180603.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20180603.11},
  abstract = {Fertility is one of the elements in population dynamics that has a significant contribution towards changing population size and structure overtime. The aim of objective of this study is to identify Demographic, Socio-economic, and Cultural factors that affect Fertility level among women of childbearing age in Ethiopia. The data for this study were taken from Ethiopia Demographic and Health Survey conducted in 2011 (EDHS2011). For modelling purpose binary logistic regression was used and data were analyzed using SPSS Version16. The total number of women in childbearing age is based on10,897 women who have at least one child and whose age ranges from15 to 49 years. Among these, 8130 (74.6%) reside in rural areas where as 2767 (25.4%) reside in urban hubs. Among those individuals 64.2% were currently not working and the remaining 35.8% of the respondent were categorized under currently working group. In relation to age at first Cohabitation, about 37.7% of individuals were fail under 15-17 interval of age category and 34.5% of respondent were greater than or equal to 18 years old. The majority of individuals were married 8621 (79.1%), followed by divorced and living with partner (716 (6.6%) and living with partner 588 (5.4%) respectively). In the analyses, all the variables Region, women educational level, wealth index, husband’s/partner’s educational level, marital status, age at first cohabitation and age in 5-years group were found to have significant effect on total number of child ever born at significance level of 5%. From the fitted logistic regression model, the estimates odds ratio displayed in table 5, for the variable region reference category is Addis Ababa. The value of the odds ratio  for region that the odds of having TCEB greater than or equals to five children for Tigray region is have 38.4% more than those individuals in Addis Ababa (OR=1.384, C.I=1.055-1.810) and its effect is statistically significant.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Binary Logistic Regression Analysis of Identifying Demographic, Socioeconomic, and Cultural Factors that Affect Fertility Among Women of Child bearing Age in Ethiopia
AU  - Desalegn Dargaso Dana
Y1  - 2018/06/01
PY  - 2018
N1  - https://doi.org/10.11648/j.sjams.20180603.11
DO  - 10.11648/j.sjams.20180603.11
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 65
EP  - 73
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20180603.11
AB  - Fertility is one of the elements in population dynamics that has a significant contribution towards changing population size and structure overtime. The aim of objective of this study is to identify Demographic, Socio-economic, and Cultural factors that affect Fertility level among women of childbearing age in Ethiopia. The data for this study were taken from Ethiopia Demographic and Health Survey conducted in 2011 (EDHS2011). For modelling purpose binary logistic regression was used and data were analyzed using SPSS Version16. The total number of women in childbearing age is based on10,897 women who have at least one child and whose age ranges from15 to 49 years. Among these, 8130 (74.6%) reside in rural areas where as 2767 (25.4%) reside in urban hubs. Among those individuals 64.2% were currently not working and the remaining 35.8% of the respondent were categorized under currently working group. In relation to age at first Cohabitation, about 37.7% of individuals were fail under 15-17 interval of age category and 34.5% of respondent were greater than or equal to 18 years old. The majority of individuals were married 8621 (79.1%), followed by divorced and living with partner (716 (6.6%) and living with partner 588 (5.4%) respectively). In the analyses, all the variables Region, women educational level, wealth index, husband’s/partner’s educational level, marital status, age at first cohabitation and age in 5-years group were found to have significant effect on total number of child ever born at significance level of 5%. From the fitted logistic regression model, the estimates odds ratio displayed in table 5, for the variable region reference category is Addis Ababa. The value of the odds ratio  for region that the odds of having TCEB greater than or equals to five children for Tigray region is have 38.4% more than those individuals in Addis Ababa (OR=1.384, C.I=1.055-1.810) and its effect is statistically significant.
VL  - 6
IS  - 3
ER  -

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