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DOI Prefix: 10.47001/IRJIET

Forecasting Total Fertility Rate in the Central African (CAF) Republic

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweTatenda. A. CHIHOHOIndependent Health Economist, ZimbabweThabani NYONISAGIT Innovation Center, Harare, Zimbabwe

Vol 5 No 8 (2021): Volume 5, Issue 8, August 2021 | Pages: 183-186

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 14-09-2021

doi Logo doi.org/10.47001/IRJIET/2021.508037

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Abstract
In this research article, the ANN approach was applied to analyze TFR in CAF Republic. The employed annual data covers the period 1960-2018 and the out-of-sample period ranges over the period 2019-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting TFR in CAF Republic. The results of the study indicate that annual total fertility rates in Central Africa Republic are likely to decline over the out-of-sample period. Therefore, the authorities in the CAF Republic should address pertinent challenges being faced by adolescents and young adults in accessing family planning services and fund empowerment programs for women.
Keywords

ANN, Forecasting, Total fertility rate (TFR).


Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Forecasting Total Fertility Rate in the Central African (CAF) Republic” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 183-186, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508037

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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