Forecasting Infant Mortality Rate in Madagascar Using Artificial Neural Networks
Abstract
In
this research work, the ANN approach was applied to analyze infant mortality
rate in Madagascar. The employed annual data covers the period 1960-2020 and
the out-of-sample period ranges over the period 2021-2030. The residuals and
forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate
that the model is stable in forecasting infant mortality rate in Madagascar.
The ANN (12, 12, 1) model predictions suggest that IMR will be around 35/1000
live births per year in the out-of-sample period. Therefore, in line with our
recommendations; the government is encouraged to intensify Maternal and Child
care surveillance and control programs in the country amongst other measures.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Department of Economics, University of Zimbabwe, Harare, Zimbabwe
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