Forecasting Total Fertility Rate (TFR) in Cote d’lvoire using a Machine Learning Technique

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.