Machine Learning Application in Forecasting Total Fertility Rate (TFR) In Madagascar
Abstract
In this piece of
work, the ANN approach was applied to analyze TFR in Madagascar. 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 Madagascar. The results of the study indicate that annual total fertility rates in Madagascar are
likely to range from 4.17 to 4.46 births per woman over the out-of-sample
period. Therefore, the government of Madagascar is
encouraged to
focus on improving access to SRH services among adolescents and young adults to
avert undesirable sexual and reproductive health (SRH) outcomes, and promotion of
women empowerment.
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. 224-227
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