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Nowcasting GDP growth for small open economies with a mixed-frequency structural model
Yau, Ruey; Hueng, C. James - In: Computational economics 54 (2019) 1, pp. 177-198
Persistent link: https://www.econbiz.de/10012134110
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Yield curve and recession forecasting in a Machine Learning framework
Gkonkas, Periklēs; Papadimitriou, Theophilos; … - In: Computational economics 45 (2015) 4, pp. 635-645
Persistent link: https://www.econbiz.de/10011440977
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Sparse Bayesian variable selection in probit model for forecasting U.S. recessions using a large set of predictors
Yang, Aijun; Xiang, Ju; Yang, Hongqiang; Jinguan, Lin - In: Computational economics 51 (2018) 4, pp. 1123-1138
Persistent link: https://www.econbiz.de/10011972241
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Evolutionary computation for macroeconomic forecasting
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Computational economics 53 (2019) 2, pp. 833-849
Persistent link: https://www.econbiz.de/10012134879
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Nonlinear forecasting of Euro Area industrial production using evolutionary approaches
Avdoulas, Christos; Bekiros, Stelios - In: Computational economics 52 (2018) 2, pp. 521-530
Persistent link: https://www.econbiz.de/10012052980
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Post‑COVID recovery and long‑run forecasting of Indian GDP with Factor‑Augmented Error Correction Model (FECM)
Maiti, Dibyendu; Kumar, Naveen; Jha, Debajit; Sarkar, … - In: Computational economics 63 (2024) 3, pp. 1095-1120
Persistent link: https://www.econbiz.de/10014546333
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Measuring the resilience to the Covid-19 pandemic of Eurozone economies with their 2050 forecasts
Rostan, Pierre; Rostan, Alexandra; Wall, John - In: Computational economics 63 (2024) 3, pp. 1137-1157
Persistent link: https://www.econbiz.de/10014546353
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Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth
Chu, Ba; Qureshi, Shafiullah - In: Computational economics 62 (2023) 4, pp. 1567-1609
Persistent link: https://www.econbiz.de/10014437505
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Forecasting of real GDP growth using machine learning models : gradient boosting and random forest approach
Yoon, Jaehyun - In: Computational economics 57 (2021) 1, pp. 247-265
Persistent link: https://www.econbiz.de/10012486898
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Quantum computing and deep learning methods for GDP growth forecasting
Alaminos, David; Salas, M. Belén; Fernández Gámez, … - In: Computational economics 59 (2022) 2, pp. 803-829
Persistent link: https://www.econbiz.de/10013169077