Fertility Status of Married Women and Its Determinants in Ethiopia

  • Essey Kebede Muluneh Bahir Dar University, Bahir Dar
  • Temesgen Zewotir University of Kwazulu Natal
  • Tilaye Matebe Yayeh Wollo University, Dessie

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 15-49 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.

Downloads

Download data is not yet available.

References

Adhikari, R. (2010). Demographic, socio-economic, and cultural factors affecting fertility differentials in Nepal. BMC Pregnancy and Childbirth, 10(19). DOI: https://doi.org/10.1186/1471-2393-10-19

Agresti, A. (2002). Categorical Data Analysis. 2nd ed. John Wiley & Sons, Inc., Hoboken, New Jersey. DOI: https://doi.org/10.1002/0471249688

Alemayehu, T., Haider, J. & Habte, D. (2010). Determinants of adolescent fertility in Ethiopia. Ethiop. J. Health Dev., 24(1), 30-38. DOI: https://doi.org/10.4314/ejhd.v24i1.62942

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. DOI: https://doi.org/10.1186/1471-2458-8-397

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. DOI: https://doi.org/10.2307/270996

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. DOI: https://doi.org/10.1890/10-1831.1

McCullagh, P. & Nelder, J. A. (1989). Generalized linear models. 2nd ed. London: Chapman & Hall. DOI: https://doi.org/10.1007/978-1-4899-3242-6

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. DOI: https://doi.org/10.1890/07-0043.1

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. DOI: https://doi.org/10.4314/asp.v7i1.54600

Published
2016-09-05
How to Cite
Muluneh, E. K., Zewotir, T., & Yayeh, T. M. (2016). Fertility Status of Married Women and Its Determinants in Ethiopia. Journal of Economics and Behavioral Studies, 8(4(J), 32-40. https://doi.org/10.22610/jebs.v8i4(J).1361
Section
Research Paper