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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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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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Dynamic factor models
Hillebrand, Eric (ed.); Koopman, Siem Jan (ed.) - 2016 - First edition
Persistent link: https://www.econbiz.de/10011416192
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Diagnostic checking of unobserved components : time series models
Harvey, Andrew C.; Koopman, Siem Jan - 1992
Persistent link: https://www.econbiz.de/10000830094
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Exact score for time series models in state space form
Koopman, Siem Jan; Shephard, Neil G. - 1992
Persistent link: https://www.econbiz.de/10000837992
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Statistical algorithms for models in state space using SsfPack 2.2
Koopman, Siem Jan; Shephard, Neil G.; Doornik, Jurgen A. - 1998
Persistent link: https://www.econbiz.de/10000167948
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Maximum likelihood estimation of stochastic volatility models
Sandmann, Gleb; Koopman, Siem Jan - 1996
Persistent link: https://www.econbiz.de/10000953379
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Messy time series : a unified approach
Harvey, Andrew C.; Koopman, Siem Jan; Penzer, Jeremy - 1997
Persistent link: https://www.econbiz.de/10000960677
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Interaction between supply and demand shocks in production and employment
Butter, Frank A. G. den; Koopman, Siem Jan - 1997
Persistent link: https://www.econbiz.de/10000961559
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Long memory modelling of inflation with stochastic variance and structural breaks
Bos, Charles S.; Koopman, Siem Jan; Ooms, Marius - 2007
Persistent link: https://www.econbiz.de/10003645182