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International Journal of Economics, Finance and Management >> Volume 5, Issue 2, June 2016

International Journal of Economics, Finance and Management


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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