Abstract
This study investigates determinant factors of fertility among married women in Ethiopia, the second most populous country in Africa with rapid population growth. The data used for the analysis was obtained from the 2014 Ethiopia Mini Demographic and Health Survey which was carried out by the Central Statistical Agency. A generalized linear model (GLM) analysis was carried out to investigate the effect of socioeconomic and demographic factors on the number of children ever born by a married woman of age 1549 years. High fertility was independently associated with residing in urban areas, increased household economic status, younger age at first birth and not using contraceptives. Current age and media exposure, household head gender and media exposure, household head gender and regional state, mother’s education and, regional state and media exposure and regional state were found to jointly affect fertility level.
Keywords
- Fertility Status Search this journal for Fertility Status (opens in a new tab)
- Children Ever Born Search this journal for Children Ever Born (opens in a new tab)
- Generalized Linear Model Search this journal for Generalized Linear Model (opens in a new tab)
- Poisson Regression Search this journal for Poisson Regression (opens in a new tab)
- Negative Binomial Regression Search this journal for Negative Binomial Regression (opens in a new tab)
- Rate Ratios Search this journal for Rate Ratios (opens in a new tab)
References
- Adhikari, R. (2010). Demographic, socio-economic, and cultural factors affecting fertility differentials in Nepal. BMC Pregnancy and Childbirth, 10(19).
- Agresti, A. (2002). Categorical Data Analysis. 2nd ed. John Wiley & Sons, Inc., Hoboken, New Jersey.
- Alemayehu, T., Haider, J. & Habte, D. (2010). Determinants of adolescent fertility in Ethiopia. Ethiop. J. Health Dev., 24(1), 30-38.
- Alene, G. D. & Worku, A. (2008). Differentials of fertility in North and South Gondar zones, northwest Ethiopia: A comparative cross-sectional study. BMC Public Health, 8, 397-398.
- Allison, P. D. (2001). Logistic Regression Using the SAS System: Theory and Application. John Wiley & Sons, Inc.
- Barron, D. N. (1992). The analysis of count data: over-dispersion and autocorrelation in Sociological Methodology. Peter V. Marsden (ed.) (1992), 179-220: Blackwell.
- CSA. (2014). Ethiopian Mini Demographic and Health Survey 2014. Central Statistical Agency, Addis Ababa, Ethiopia.
- Falls-Jr, J. A. (2007). Population: A Lively Introduction 5th ed. Washington, DC: Population Reference Bureau, 62(1).
- Gebremedhin, S. & Betre, M. (2009). Level and Differentials of Fertility in Awassa Town, Southern Ethiopia. African Journal of Reproductive Health, 13(1), 93-112.
- Hailemariam, A. (1992). An Overview of the Determinants of High Fertility in Ethiopia. Ethiopian Journal of Development Research, 14(2), 1-30.
- Indongo, N. & Pazvakawambwa, L. (2012). Determinants of fertility in Namibia. Afr J Reprod Health, 16(4), 50-57.
- Jara, D., Dejene, T. & Taha, M. (2013). Determinants of High Fertility Status among Married Women in Gilgel Gibe Field Research Center of Jimma University, Oromia, Ethiopia: A Case Control Study. Public Health Research, 3(2), 9-17.
- Johnson, K., Abderrahim, N. & Rutstein, S. O. (2011). Changes in the Direct and Indirect Determinants of Fertility in Sub-Saharan Africa. DHS Analytical Studies; No. 23. Calverton, Maryland, USA: ICF Macro.
- Lindén, A. & Mäntyniemi, S. (2011). Using the negative binomial distribution to model over dispersion in ecological count data. Ecology, 92(7), 1414–1421.
- McCullagh, P. & Nelder, J. A. (1989). Generalized linear models. 2nd ed. London: Chapman & Hall.
- Olatoregun, O., Fagbamigbe, A. F., Akinyemi, O. J., Yusuf, O. B. & Bamgboye, E. A. (2014). A Comparative Analysis of Fertility Differentials in Ghana and Nigeria. Afr J Reprod Health, 18(3), 36-47.
- Population Reference Bureau. (2015). World population Data sheet with a special focus on women’s empowerment. Washington, DC, Population Reference Bureau.
- Teklu, H., Sebhatu, A. & Gebreselassie, T. (2013). Components of Fertility Change in Ethiopia. Further analysis of the 2000, 2005 and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No.80 Calverton, Maryland, USA: ICF International.
- Tessema, G. A., Zeleke, B. M. & Ayele, T. A. (2013). Birth interval and its predictors among married women in Dabat District, Northwest Ethiopia: A retrospective follow up study. Afr J Reprod Health, 17(2), 39-45.
- UN. (2005). Population Challenges and Development Goals 2005. Department of Economic and Social Affairs. New York.
- Ver Hoef, J. M. & Boveng, P. L. (2007). Quasi-Poisson vs. negative binomial regression: how should we model over dispersed count data? Ecology, 88(11), 2766-72.
- Zewotir, T. & North, D. (2015). Analysis of attrition and retention rates using the Generalized Linear Model. South African Statist. Journal, 49(2), 259-271.
- Zewotir, T. & Ramroop, S. (2009). Application of negative binomial regression for assessing public awareness of the health effects of nicotine and cigarettes. African Safety Promotion: A Journal of Injury and Violence Prevention, 7(1), 14-29.
Downloads
No downloads have been recorded for this article yet. Figures appear here once readers begin downloading the full text.
How to Cite
Share this article
License
Copyright (c) 2016 Essey Kebede Muluneh, Temesgen Zewotir, Tilaye Matebe Yayeh (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Author (s) should affirm that the material has not been published previously. It has not been submitted and it is not under consideration by any other journal. At the same time author (s) need to execute a publication permission agreement to assume the responsibility of the submitted content and any omissions and errors therein. After submission of revised paper in the light of suggestions of the reviewers, the editorial team edits and formats manuscripts to bring uniformity and standardization in published material.
This work will be licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) and under condition of the license, users are free to read, copy, remix, transform, redistribute, download, print, search or link to the full texts of articles and even build upon their work as long as they credit the author for the original work. Moreover, as per journal policy author (s) hold and retain copyrights without any restrictions.
Keywords
- Fertility Status Search this journal for Fertility Status (opens in a new tab)
- Children Ever Born Search this journal for Children Ever Born (opens in a new tab)
- Generalized Linear Model Search this journal for Generalized Linear Model (opens in a new tab)
- Poisson Regression Search this journal for Poisson Regression (opens in a new tab)
- Negative Binomial Regression Search this journal for Negative Binomial Regression (opens in a new tab)
- Rate Ratios Search this journal for Rate Ratios (opens in a new tab)
Section
Published in
Vol. 8 No. 4(J) (2016)
Sovereign Risk, Enterprise & Global Mobility
View issue contents
Published
Submissions
Have research to publish? Journal of Economics and Behavioral Studies welcomes submissions.
Make a Submission