Prediction of Unemployment Rates with Time Series and Machine Learning Techniques
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DOI: 10.1007/s10614-019-09908-9
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- Mustafa Yurtsever, 2023. "Unemployment rate forecasting: LSTM-GRU hybrid approach," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-9, December.
- Anna Borucka, 2023. "Seasonal Methods of Demand Forecasting in the Supply Chain as Support for the Company’s Sustainable Growth," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
- Mihai Mutascu & Scott W. Hegerty, 2023.
"Predicting the contribution of artificial intelligence to unemployment rates: an artificial neural network approach,"
Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 400-416, June.
- Mihai Mutascu & Scott Hegerty, 2023. "Predicting the contribution of artificial intelligence to unemployment rates: an artificial neural network approach," Post-Print hal-04273887, HAL.
- Betül Kalaycı & Vilda Purutçuoğlu & Gerhard Wilhelm Weber, 2025. "Optimal model description of finance and human factor indices," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 33(1), pages 1-26, March.
- Anastasios Petropoulos & Vassilis Siakoulis & Konstantinos P. Panousis & Loukas Papadoulas & Sotirios Chatzis, 2023. "Macroeconomic forecasting and sovereign risk assessment using deep learning techniques," Papers 2301.09856, arXiv.org.
- Rendra Gustriansyah & Juhaini Alie & Nazori Suhandi, 2023. "Modeling the number of unemployed in South Sumatra Province using the exponential smoothing methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1725-1737, April.
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Keywords
FARIMA/GARCH; FARIMA; Neural networks; Support vector machines; Multivariate adaptive regression splines; Multiple steps ahead predictions; Forecasting accuracy;All these keywords.
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