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DOI Prefix: 10.47001/IRJIET

Total Fertility Rate (TFR) Forecasting In Algeria

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: 457-460

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-09-2021

doi Logo doi.org/10.47001/IRJIET/2021.508103

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Abstract
In this paper, the ANN approach was applied to analyze TFR in Algeria. 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 Algeria. The results of the study indicate that annual total fertility rates in Algeria are likely to decline slightly over the out-of-sample period. Therefore, the Algerian government is encouraged to address sexual and reproductive health (SRH) challenges being faced by adolescent girls and women to improve access to family planning services in order to further reduce unintended pregnancies and other adverse SRH outcomes. 
Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Total Fertility Rate (TFR) Forecasting In Algeria” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 457-460, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508103

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