Tracking Future Trends of Adolescent Fertility for Cabo Verde Using the Artificial Neural Network Approach
Abstract
This research paper employs annual time series
data on adolescent fertility rate for Cabo Verde 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 will decline throughout the out of sample period.
Therefore, the government of Cabo Verde should implement strategies such as
scaling up awareness campaigns among communities, promote girl child education,
protect women’s rights 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
IRJIET, Volume 6, Issue 12, December 2022 pp. 153-156
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