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An Artificial Neural Network Experiment on the Prediction of the Unemployment Rate

Vîntu, Denis (2025): An Artificial Neural Network Experiment on the Prediction of the Unemployment Rate.

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Abstract

Unemployment is one of the most important macroeconomic indicators for evaluating economic performance and social well-being. Forecasting unemployment is crucial for policymakers, yet traditional econometric models often fail to capture nonlinear and dynamic patterns. This paper presents an experiment applying artificial neural networks (ANNs) to predict the unemployment rate using macroeconomic data. Results show that ANNs outperform traditional ARIMA models, particularly during stable economic conditions. Implications for policy, limitations, and future research are discussed.

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