Time Series Forecasting Of Total Fertility Rate (TFR) In Tanzania

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: 424-427

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/2021.508095

Abstract

In this research paper, the ANN approach was applied to analyze TFR in Tanzania. 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 Tanzania. The results of the study indicate that annual total fertility rates in Tanzania are likely to slightly decline over the out-of-sample period. Therefore, the Tanzanian government is encouraged to create more demand for family planning services, HIV testing and ART (Antiretroviral therapy) services, address adolescent challenges experienced when seeking health care services and channel more resources towards women empowerment program activities. 

Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Time Series Forecasting Of Total Fertility Rate (TFR) In Tanzania” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 424-427, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508095

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