Forecasting Total Fertility Rate (TFR) in the Dominican Republic Using a Machine Learning Algorithm
Abstract
In this research paper, the ANN approach was
applied to analyze TFR in the Dominican Republic. 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
the Dominican Republic. The results of the study indicate that annual total
fertility rates in the country are likely to remain around 2.5 births per woman
over the out-of-sample period. Therefore, the authorities in the country are
encouraged to continue improving accessibility of family planning services to
adolescents and young adults to minimize adverse SRH outcomes.
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. 207-210
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