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Multivariate macroeconomic forecasting : from DSGE and BVAR to artificial neural networks
Tänzer, Alina - 2024
This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools …
Persistent link: https://www.econbiz.de/10014532351
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Forecast of staffing needs for the artificial intelligence sector in Russia
Aver’yanov, A. O.; Stepus’, I. S.; Gurtov, Valerij A. - In: Studies on Russian economic development 34 (2023) 1, pp. 86-95
Persistent link: https://www.econbiz.de/10014266631
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News media versus FRED-MD for macroeconomic forecasting
Ellingsen, Jon; Larsen, Vegard Høghaug; Thorsrud, Leif … - In: Journal of applied econometrics 37 (2022) 1, pp. 63-81
Persistent link: https://www.econbiz.de/10013165174
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Is accounting useful for forecasting gdp growth? : a machine learning perspective
Datar, Srikant M.; Jain, Apurv; Wang, Charles C. Y.; … - 2021
) variables---outnumbering the total time-series observations---and apply machine learning techniques to train, validate, and test …
Persistent link: https://www.econbiz.de/10012586393
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Lawrence R. Klein's principles in modeling and contributions in nowcasting, real-time forecasting, and machine learning
Mariano, Roberto S.; Özmucur, Süleyman - 2020 - Preliminary draft
Persistent link: https://www.econbiz.de/10013206017
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Recession forecasting with high-dimensional data
Nevasalmi, Lauri - In: Journal of forecasting 41 (2022) 4, pp. 752-764
Persistent link: https://www.econbiz.de/10013287849
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Improving the short-term forecast of world trade during the Covid-19 pandemic using SWIFT data on letters of credit
Carton, Benjamin; Hu, Nan; Mongardini, Joannes; Moriya, Kei - 2020
(PMI), to improve the short-term forecast of international trade. A horse race between linear regressions and machine-learning … machine-learning algorithms, confirming the linear relationship between trade and its financing through letters of credit …
Persistent link: https://www.econbiz.de/10012392595
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News media vs. FRED-MD for macroeconomic forecasting
Ellingsen, Jon; Larsen, Vegard Høghaug; Thorsrud, Leif … - 2020
Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP,...
Persistent link: https://www.econbiz.de/10012417502
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News media vs. FRED-MD for macroeconomic forecasting
Ellingsen, Jon; Larsen, Vegard Høghaug; Thorsrud, Leif … - 2020
Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP,...
Persistent link: https://www.econbiz.de/10012304069
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How is machine learning useful for macroeconomic forecasting?
Goulet Coulombe, Philippe; Leroux, Maxime; Stevanović, … - 2019
Persistent link: https://www.econbiz.de/10012109849