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  • Search: subject:"Unobserved components time series."
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Year of publication
Subject
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Kalman filter 25 Zeitreihenanalyse 19 Zustandsraummodell 16 State space model 15 Time series analysis 12 unobserved components time series model 10 Theorie 9 Band-pass filter 8 Stochastic volatility 8 Unobserved components time series model 8 Inflation 7 Unobserved components time series models 7 EU-Staaten 6 Konjunktur 6 Monte Carlo simulation 6 Stochastischer Prozess 6 Theory 6 Schätzung 5 USA 5 Volatilität 5 model-based seasonal adjustment 5 Autoregressive integrated moving average 4 Bandpass filter 4 Business cycle 4 Coincident indicator 4 Common stochastic variance 4 Common trends and cycles 4 Cyclical convergence 4 Dynamic factor model 4 EU countries 4 Frequency-specific model 4 Importance sampling 4 Industrial production 4 Kalman filer 4 Leading indicator 4 Markov chain Monte Carlo 4 Phase shift 4 Revisions 4 Simulation smoothing 4 State space 4
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Online availability
All
Free 37 Undetermined 1
Type of publication
All
Book / Working Paper 37 Article 2
Type of publication (narrower categories)
All
Working Paper 21 Arbeitspapier 10 Graue Literatur 10 Non-commercial literature 10 Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 23 Undetermined 16
Author
All
Koopman, Siem Jan 38 Bos, Charles S. 8 Hindrayanto, Irma 7 Ooms, Marius 5 Aston, John A.D. 4 Azevedo, Joao Valle e 4 Creal, Drew 4 Luginbuhl, Rob 4 Zivot, Eric 4 Rua, Antonio 3 Vujic, Suncica 3 Azevedo, João Valle e 2 Brauning, Falk 2 Commandeur, Jacques 2 Galati, Gabriele 2 Li, Mengheng 2 Vlekke, Marente 2 e Azevedo, Joao Valle 2 Aston, John A. D. 1 Commandeur, Jacques Jean François 1 Rua, António 1 Sánchez-Fung, José R. 1
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Institution
All
Tinbergen Instituut 9 Tinbergen Institute 7
Published in...
All
Tinbergen Institute Discussion Papers 16 Tinbergen Institute Discussion Paper 11 Discussion paper / Tinbergen Institute 10 Applied economics 1 Macroeconomics and finance in emerging market economies 1
Source
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RePEc 16 ECONIS (ZBW) 12 EconStor 11
Showing 31 - 39 of 39
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Measuring Synchronisation and Convergence of Business Cycles
Koopman, Siem Jan; Azevedo, Joao Valle e - Tinbergen Institute - 2003
This paper investigates business cycle relations among different economies in the Euro area. Cyclical dynamics are explicitly modelled as part of a time series model. We introduce mechanisms that allow for increasing or diminishing phase shifts and for time-varying association patterns in...
Persistent link: https://www.econbiz.de/10005137388
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Measuring Synchronisation and Convergence of Business Cycles
Koopman, Siem Jan; Azevedo, Joao Valle e - Tinbergen Instituut - 2003
This discussion paper resulted in an article in the <I>Oxford Bulletin of Economics and Statistics</I> (2008). Vol. 70 issue 1, pages 23-51.<P> This paper investigates business cycle relations among different economies in theEuro area. Cyclical dynamics are explicitly modelled as part of a time series...</p></i>
Persistent link: https://www.econbiz.de/10011255482
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Convergence in European GDP series
Luginbuhl, Rob; Koopman, Siem Jan - 2003
Convergence in gross domestic product series of five European countriesis empirically identified using multivariate time series models that arebased on unobserved components with dynamic converging properties.We define convergence in terms of a decrease in dispersion over timeand model this...
Persistent link: https://www.econbiz.de/10011333256
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Measuring synchronisation and convergence of business cycles
Koopman, Siem Jan; Azevedo, João Valle e - 2003
This paper investigates business cycle relations among different economies in theEuro area. Cyclical dynamics are explicitly modelled as part of a time series model. Weintroduce mechanisms that allow for increasing or diminishing phase shifts and for time-varyingassociation patterns in different...
Persistent link: https://www.econbiz.de/10011333890
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Tracking growth and the business cycle : a stochastic common cycle model for the Euro area
Azevedo, João Valle e; Koopman, Siem Jan; Rua, António - 2003
This paper proposes a new model-based method to obtain a coincident indicator for the business cycle. A dynamic factor model with trend components and a common cycle component is considered which can be estimated using standard maximum likelihood methods. The multivariate unobserved components...
Persistent link: https://www.econbiz.de/10011334364
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Time Series Models with a Common Stochastic Variance for Analysing Economic Time Series
Koopman, Siem Jan; Bos, Charles S. - 2002
The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
Persistent link: https://www.econbiz.de/10010324992
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Time Series Models with a Common Stochastic Variance for Analysing Economic Time Series
Koopman, Siem Jan; Bos, Charles S. - Tinbergen Institute - 2002
The linear Gaussian state space model for which the common variance is treated as a stochastic time-varying variable is considered for the modelling of economic time series. The focus of this paper is on the simultaneous estimation of parameters related to the stochastic processes of the mean...
Persistent link: https://www.econbiz.de/10005209436
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Time Series Models with a Common Stochastic Variance for Analysing Economic Time Series
Koopman, Siem Jan; Bos, Charles S. - Tinbergen Instituut - 2002
This discussion paper led to an article in <I>Statistica Neerlandica</I> (2003). Vol. 57, issue 4, pages 439-469.<P> The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this...</p></i>
Persistent link: https://www.econbiz.de/10011255780
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Time series models with a common stochastic variance for analysing economic time series
Koopman, Siem Jan; Bos, Charles S. - 2002
The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
Persistent link: https://www.econbiz.de/10011327834
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