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The purpose ofthis study was to develop a model to estimate employment data (ED) by using the data of Gross Domestic Product (GDP), which is an indicator of economic growth, and by focusing on Turkey. Two expert systems based on GDP and ED was designed and built using Artificial Neural Networks (ANN) and Multiple Linear Regression (MLR) models.Through these expert systems thatused GDP data, it would be possible to predict how economic growth will affect employment. For this purpose, the ED was estimated by using the GDP data through these two models. The estimated ED that was obtained through both modelswas compared with the actual ED. As a result of the comparison, it was found that the expert system, which was formed by using ANN, produced more realistic results.

türk turizm araştırmaları dergisi

Effects of Economic Growth on Employment: Comparison of Artificial Neural Network and Multilinear Regression as an Forecasting Model in the Light of GDP and Employment Data