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Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors
Bennedsen, Mikkel; Hillebrand, Eric; Koopman, Siem Jan - 2019
Persistent link: https://www.econbiz.de/10012316908
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Noncausal Bayesian vector autoregression
Lanne, Markku; Luoto, Jani - 2014
Persistent link: https://www.econbiz.de/10010256309
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A mixed-frequency Bayesian vector autoregression with a steady-state prior
Ankargren, Sebastian; Unosson, Måns; Yang, Yukai - 2018
Persistent link: https://www.econbiz.de/10011946422
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Consistent inference for predictive regressions in persistent VAR economies
Andersen, Torben; Varneskov, Rasmus Tangsgaard - 2018
Persistent link: https://www.econbiz.de/10011797682
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Parallel sequential Monte Carlo for efficient density combination : the Deco Matlab Toolbox
Casarin, Roberto; Grassi, Stefano; Ravazzolo, Francesco; … - 2013
Persistent link: https://www.econbiz.de/10009730084
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On the selection of common factors for macroeconomic forecasting
Giovannelli, Alessandro; Proietti, Tommaso - 2014
Persistent link: https://www.econbiz.de/10010438076
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Forecasting macroeconomic variables using neural network models and three automated model selection techniques
Kock, Anders Bredahl; Teräsvirta, Timo - 2011
Persistent link: https://www.econbiz.de/10009267762
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The dividend-price ratio does predict dividend growth : international evidence
Engsted, Tom; Pedersen, Thomas Q. - 2009
Persistent link: https://www.econbiz.de/10003865691
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Forecasting medium and large datasets with Vector Autoregressive Moving Average (VARMA) models
Dias, Gustavo Fruet; Kapetanios, George - 2014
Persistent link: https://www.econbiz.de/10010419000
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Forecasting daily political opinion polls using the fractionally cointegrated VAR model
Nielsen, Morten Ørregaard; Shibaev, Sergei S. - 2016
Persistent link: https://www.econbiz.de/10011573274