Namutebi, Delilah (2023) Analyzing factors that influence Niger's total fertility rate through poisson regression. Master thesis.
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Abstract
Understanding and addressing the high Total Fertility Rate (TFR) in Niger is pivotal, given its global significance. To shed light on this issue, the study employs the Demographic Transition Theory and the Planned Behavior Theory, aiming to comprehend the evolving fertility patterns and the role of beliefs and norms in women's reproductive choices. The study's objective is to dissect how demographic, socio- economic factors, and attitudes, beliefs, and practices collectively contribute to Niger's high TFR. Utilizing the 2012 Niger Demographic and Health Survey dataset, this study delves into the determinants of high TFR among women aged 15-49. Employing Poisson regression analysis with age groups as an offset, the study seeks to identify factors influencing Niger's TFR. Descriptive tables and Pearson's chi-squared tests facilitate the discussion of respondent characteristics and their association with TFR (p-value < 0.05). Results spotlight socio-economic factors as pivotal contributors to high TFR. Notably, factors such as residential location, age at first cohabitation, attained education level, employment status, earnings types, child mortality rates (<1 and 1-5), and contraceptive usage exhibit statistically significant associations with the number of children ever born. However, child mortality rates (>5) and abortion lack significant statistical correlation with the TFR. In conclusion, the study underscores the importance of strategic interventions. Recommendations include increased investments in education, integration of adolescent-friendly healthcare programs, women's empowerment initiatives, and enhanced male engagement in family planning and sexual and reproductive health programs. Tailoring family planning policies to cater to diverse age groups and geographical contexts is also advised. By addressing these multifaceted factors, policy makers and governments can contribute to a more sustainable demographic landscape in Niger.
| Item Type: | Thesis (Master) |
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| Degree programme: | Population Studies |
| Supervisor: | Meijering, L.B. |
| Date Deposited: | 12 Sep 2023 11:49 |
| Last Modified: | 12 Sep 2023 11:49 |
| URI: | https://frw.studenttheses.ub.rug.nl/id/eprint/4380 |
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