Early Identification of Abnormal Future Trends of Adolescent Fertility for Benin Using the Artificial Neural Network Approach
Abstract
This research article uses annual time series
data on adolescent fertility rate for Benin from 1960 to 2020 to predict future
trends of adolescent fertility rate over the period 2021 to 2030. The forecast
evaluation criteria of the applied model indicate that the ANN (12, 12, 1)
model is stable. The neural network model projections revealed that adolescent
fertility is expected to increase and also remain high throughout the out of
sample period. Therefore, we encourage the government of Benin to create more
adolescent friendly facilities, strictly enforce laws to prevent child
marriages and sexual abuse of women, and promote girl child education and fund
empowerment programs for youths.
Country : Zimbabwe
1 Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Independent Researcher & Health Economist, Harare, Zimbabwe
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