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
Volume 6, Issue 3, June 2018, Pages: 65-73
Received: Mar. 26, 2018; Accepted: Apr. 12, 2018; Published: Jun. 1, 2018
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Desalegn Dargaso Dana, Department of Statistics, College of Natural and Computational Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia
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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.
Fertility, Total Children Ever Born, EDHS, Binary Logistic Regression Analysis
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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, Science Journal of Applied Mathematics and Statistics. Vol. 6, No. 3, 2018, pp. 65-73. doi: 10.11648/j.sjams.20180603.11
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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