An efficient and simple simulation smoother for state space time series analysis
Author
Abstract
Suggested Citation
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015.
"Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
- Giannone, Domenico & Bańbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," Working Paper Series 1733, European Central Bank.
- Giannone, Domenico & Banbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," CEPR Discussion Papers 9931, C.E.P.R. Discussion Papers.
- Martha Banbura & Domenico Giannone & Michèle Lenza, 2014. "Conditional Forecasts and Scenario Analysis with Vector Autoregressions for Large Cross-Sections," Working Papers ECARES ECARES 2014-15, ULB -- Universite Libre de Bruxelles.
- Michael Artis & Massimiliano Marcellino & Tommaso Proietti, 2004.
"Characterising the Business Cycle for Accession Countries,"
Working Papers
261, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Michael Artis & Massimiliano Marcellino & Tommaso Proietti, 2004. "Characterising the Business Cycle for Accession Countries," Econometrics 0403006, University Library of Munich, Germany.
- Artis, Michael & Marcellino, Massimiliano & Proietti, Tommaso, 2004. "Characterizing the Business Cycle for Accession Countries," CEPR Discussion Papers 4457, C.E.P.R. Discussion Papers.
- Guglielmo Maria Caporale & Abdurrahman Nazif Catik & Gül Serife Huyugüzel Kisla & Mohamad Husam Helmi & Coskun Akdeniz, 2021. "Oil Prices, Exchange Rates and Sectoral Stock Returns in the BRICS-T Countries: A Time-Varying Approach," CESifo Working Paper Series 9322, CESifo.
- Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2019.
"Money, Credit, Monetary Policy, and the Business Cycle in the Euro Area: What Has Changed Since the Crisis?,"
International Journal of Central Banking, International Journal of Central Banking, vol. 15(5), pages 137-173, December.
- Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2019. "Money, credit, monetary policy, and the business cycle in the euro area: what has changed since the crisis?," Staff Reports 885, Federal Reserve Bank of New York.
- Giannone, Domenico & Lenza, Michele & Reichlin, Lucrezia, 2019. "Money, credit, monetary policy and the business cycle in the euro area: what has changed since the crisis?," Working Paper Series 2226, European Central Bank.
- C. Glocker & G. Sestieri & P. Towbin, 2017. "Time-varying fiscal spending multipliers in the UK," Working papers 643, Banque de France.
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
- Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Nazif Çatık, Abdurrahman & Huyugüzel Kışla, Gül & Akdeni̇z, Coşkun, 2020. "Time-varying impact of oil prices on sectoral stock returns: Evidence from Turkey," Resources Policy, Elsevier, vol. 69(C).
More about this item
Keywords
State Space; Kalman filter; Gibbs sampler;All these keywords.
JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2001-05-02 (Computational Economics)
- NEP-ECM-2001-05-02 (Econometrics)
- NEP-ETS-2001-05-02 (Econometric Time Series)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sce:scecf1:52. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.