Forecasting Total Fertility Rate (TFR) in Cote d’lvoire using a Machine Learning Technique
Abstract
In this research
article, the ANN approach was applied to analyze TFR in Cote d’lvoire. The
employed annual data covers 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 Cote d’lvore. The results of the study indicate that annual total fertility rates in Cote d’Ivoire are likely to rise slightly over the
out-of-sample period. Therefore, the authorities in Cote d’lvoire
are encouraged to
scale up demand creation for sexual and reproductive health (SRH) services and
address health system challenges that hinder access to family planning
services, and prioritize women empowerment programs.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Tatenda. A. CHIHOHO3 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Independent Health Economist, Zimbabwe
SAGIT Innovation Center, Harare, Zimbabwe
IRJIET, Volume 5, Issue 8, August 2021 pp. 135-138
