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Is something really wrong with macroeconomics?
Reis, Ricardo - In: Oxford review of economic policy 34 (2018) 1/2, pp. 132-155
Persistent link: https://www.econbiz.de/10011952587
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When was the US housing downturn predictable? : a comparison of univariate forecasting methods
Zietz, Joachim; Traian, Anca - In: The quarterly review of economics and finance : journal … 54 (2014) 2, pp. 271-281
Persistent link: https://www.econbiz.de/10010467333
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Updating input-output tables with benchmark table series
Wang, Huiwen; Wang, Cheng; Zheng, Haitao; Feng, Haoyun; … - In: Economic systems research : journal of the … 27 (2015) 3, pp. 287-305
Persistent link: https://www.econbiz.de/10011385604
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Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors
Bennedsen, Mikkel; Hillebrand, Eric; Koopman, Siem Jan - In: Energy economics 96 (2021), pp. 1-17
Persistent link: https://www.econbiz.de/10012818590
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Macroeconomic forecasting and business cycle analysis with nonlinear models
Heinrich, Markus - 2020
Persistent link: https://www.econbiz.de/10012624946
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Time series prognostication models applied to the US dollar and the Japanes yen
Arize, Augustine Chuck; Berendt, Charles J.; … - In: The international journal of finance 27 (2015) 4, pp. 501-516
Persistent link: https://www.econbiz.de/10011718643
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Dating US business cycles with macro factors
Fossati, Sebastian - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 20 (2016) 5, pp. 529-547
Persistent link: https://www.econbiz.de/10011649152
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Old dog, new tricks : a modelling view of simple moving averages
Svetunkov, Ivan; Petropoulos, Fotios - In: International journal of production research 56 (2018) 18, pp. 6034-6047
Persistent link: https://www.econbiz.de/10011946789
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Forecasting key US macroeconomic variables with a factor‐augmented Qual VAR
Gupta, Rangan; Olson, Eric; Wohar, Mark E. - In: Journal of forecasting 36 (2017) 6, pp. 640-650
Persistent link: https://www.econbiz.de/10011861401
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A novel grey-fuzzy-Markov and pattern recognition model for industrial accident forecasting
Edem, Inyeneobong Ekoi; Oke, Sunday Ayoola; Adebiyi, … - In: Journal of industrial engineering international 14 (2018) 3, pp. 455-489
Industrial forecasting is a top-echelon research domain, which has over the past several years experienced highly … of application of the developed novel model signify that forecasting could be effectively carried out under uncertain … conditions and hence, positions the model as a distinctly superior tool for accident forecasting investigations. The novelty of …
Persistent link: https://www.econbiz.de/10011887881