GDP and Unemployment Rate in Turkey: An Empirical Study using Neural Networks

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Author	Mounir Ben Mbarek, Rochdi Feki
ISSN	2225-7217
On Pages	154-159
Volume No.	2
Issue No.	1
Issue Date	March 01, 2020
Publishing Date	March 01, 2020
Keywords	Artificial Neural Networks, VAR model, Forecasting

Abstract

In this paper, we analyze the forecasting performance of artificial neural networks (ANN) models to forecast the GDP and the unemployment rate (UR) in Turkey. Our object is to compare between two econometric techniques: the ANN and the classical econometric techniques particularly the vector autoregressive model (VAR) in terms of their performance. The results show that the ANN models are often more robust than the VAR model.

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