Nigatu, Daniel (2017) Factors Associated with Number of Children that Women in Ethiopia Would Like to Have in their Lifetime (Application of Count Regression Model). Masters thesis, Addis Ababa University.
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Abstract
Most frequently, fertility preference is defined as desired family size, ideal number of children, and the desire for additional children or the fertility intention. Despite the various strategies and policies to reduce family size, Ethiopia’s total fertility rate still remains high at 4.8 partly attributed to strong preferences for large family sizes. The main aim of this study was to explore the factors that influence desired number of children among women in Ethiopia based on data from Ethiopian Demographic and Health Survey conducted in 2011. Count regression models were used to model the desired number of children among women in Ethiopia. Separate analyses were made using the data with sampling weights and without sampling weights and the results revealed that both the descriptive and count regression analyses results using the data with sample weights are different from the results obtained using data without sample weights. Among the count models considered, the Zero Inflated Poisson (ZIP) model was found to be the most appropriate model for analyzing the data on the desired number of children by women in Ethiopia. The ZIP model fit results indicated that religion, wealth index, women age, women education, Place of residence, whether a woman has living children, contraceptive use and women occupation are significantly associated with the desired number of children that women in Ethiopia would like to have in their life time.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Ethiopia, fertility rate, Ideal number of children, sociodemographic factors, statistical weight, Count Regression models. |
| Subjects: | H Social Sciences > H Social Sciences (General) R Medicine > R Medicine (General) |
| Divisions: | Africana |
| Depositing User: | Selom Ghislain |
| Date Deposited: | 25 Sep 2018 09:52 |
| Last Modified: | 25 Sep 2018 09:52 |
| URI: | http://thesisbank.jhia.ac.ke/id/eprint/5713 |
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