Forecasting Total Fertility Rate (TFR) In Turkey Using the Multilayer Perceptron Neural Network
Abstract
In this research
paper, the ANN approach was applied to analyze TFR in Turkey. 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 Turkey. The results of the study indicate that annual total fertility rates in Turkey are
likely to be around 2.3 births per woman throughout the out-of-sample period. Therefore, the
Turkish government is encouraged to continue on this commendable path by continuously addressing challenges
being faced by adolescent girls and young women.
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. 331-334
Sara Turner, International Futures- Fall 2012, Dr.
Barry Hughes (2012),Turkey in 2050 Creating
Sustainable Economic Growth and an Inclusive Society, pp 1-29
