期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：11
页码：1-6
DOI：10.35629/5252-031011971204
语种：English
出版社：IJAEM JOURNAL
摘要：This study empirically analysed women fertility decision using the count model in Nigeria. Using secondary data from National bureau of statistics and National population commission in Nigeria. This study was carried out using Poisson and Negative binomial regression where the result shows that the Poisson model indicated underdispersion, hence has not violated any assumption. , all criteria for selection methods in Poisson regression model were smaller than their counterparts in Negative binomial model, therefore, Poisson regression model outperformed negative binomial model and revealed that, there were strong positive associations among number of births and the covariates considered and within the covariates themselves which were statistically significant. The prediction of the trend of the women fertility decisions in Nigeria was using Poisson regression model to predict the number of children ever born by every 1000 women based on the religion belief and the wealth index. For every wealth index on this research, 1.230 (95% CI, 1.007 to 1.502) times more children ever born increased, which is statistically significant with p = .042, gives a 23.0% increase in the number of children ever born for each extra wealth index. And that only both religion and wealth index among other predictors considered in this research study were statistically significant. Therefore Poisson regression model should be adopted in modeling and predicting women fertility decision in Nigeria. Religion and wealth index should always be considered as significant factors among others that contribute to the fertility decision making in Nigeria.
