Forecasting Total Fertility Rate (TFR) In Syria

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: 339-342

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/2021.508074

Abstract
In this research paper, the ANN approach was applied to analyze TFR in Syria. 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 Syria. The results of the study indicate that annual total fertility rates in Syria are likely to be around 3.1 throughout the out-of-sample period Therefore; the Syrian government is encouraged to continuously improve accessibility of family planning services to prevent adverse maternal and child health outcomes and channel more resources towards women empowerment.
Keywords

ANN, Forecasting, Total fertility rate (TFR).


Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Forecasting Total Fertility Rate (TFR) In Syria” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 339-342, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508074

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