The relationship between the Beveridge-Nelson decomposition and other permanent-transitory decompositions that are popular in economics

Citations

Cited by:

1. Sbrana, Giacomo, 2013. "The exact linkage between the Beveridge–Nelson decomposition and other permanent-transitory decompositions," Economic Modelling, Elsevier, vol. 30(C), pages 311-316.
   • Giacomo Sbrana, 2010. "The exact linkage between the Beveridge-Nelson decomposition and other permanent-transitory decompositions," Working Papers 10-09, Association Française de Cliométrie (AFC).
   • Giacomo Sbrana, 2013. "The exact linkage between the Beveridge-Nelson decomposition and other permanent-transitory decompositions," Post-Print hal-00779344, HAL.
2. Blasques, F. & van Brummelen, J. & Gorgi, P. & Koopman, S.J., 2024. "A robust Beveridge–Nelson decomposition using a score-driven approach with an application," Economics Letters, Elsevier, vol. 236(C).
   • Francisco Blasques & Janneke van Brummelen & Paolo Gorgi & Siem Jan Koopman, 2024. "A robust Beveridge-Nelson decomposition using a score-driven approach with an application," Tinbergen Institute Discussion Papers 24-003/III, Tinbergen Institute.
3. Tobias Hartl & Rolf Tschernig & Enzo Weber, 2020. "Fractional trends and cycles in macroeconomic time series," Papers 2005.05266, arXiv.org, revised May 2020.
4. Tommaso Proietti, 2016. "The Multistep Beveridge--Nelson Decomposition," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 373-395, March.
   • Proietti, Tommaso, 2009. "The Multistep Beveridge-Nelson Decomposition," MPRA Paper 15345, University Library of Munich, Germany.
   • Proietti, Tommaso, 2011. "The Multistep Beveridge-Nelson Decomposition," Working Papers 09/2011, University of Sydney Business School, Discipline of Business Analytics.
   • Tommaso Proietti, 2009. "The Multistep Beveridge-Nelson Decomposition," EERI Research Paper Series EERI_RP_2009_24, Economics and Econometrics Research Institute (EERI), Brussels.
5. Murasawa, Yasutomo, 2015. "The multivariate Beveridge–Nelson decomposition with I(1) and I(2) series," Economics Letters, Elsevier, vol. 137(C), pages 157-162.
   • Murasawa, Yasutomo, 2015. "The multivariate Beveridge--Nelson decomposition with I(1) and I(2) series," MPRA Paper 66319, University Library of Munich, Germany.
6. Xu, Zhiwei, 2008. "Univariate Unobserved-Component Model with Non-Random Walk Permanent Component," MPRA Paper 12038, University Library of Munich, Germany.
7. Trenkler, Carsten & Weber, Enzo, 2016. "On the identification of multivariate correlated unobserved components models," Economics Letters, Elsevier, vol. 138(C), pages 15-18.
   • Trenkler, Carsten & Weber, Enzo, 2015. "On the identification of multivariate correlated unobserved components models," Working Papers 15-12, University of Mannheim, Department of Economics.
8. Angelia L. Grant & Joshua C.C. Chan, 2017. "A Bayesian Model Comparison for Trend‐Cycle Decompositions of Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 525-552, March.
   • Joshua C.C. Chan & Angelia L. Grant, 2015. "A Bayesian model comparison for trend-cycle decompositions of output," CAMA Working Papers 2015-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
9. Sbrana, Giacomo & Silvestrini, Andrea, 2023. "The RWDAR model: A novel state-space approach to forecasting," International Journal of Forecasting, Elsevier, vol. 39(2), pages 922-937.
10. Xu, Zhiwei, 2008. "Univariate Unobserved-Component Model with a Non-Random-Walk Permanent Component," MPRA Paper 50053, University Library of Munich, Germany.
11. Murasawa Yasutomo, 2022. "Bayesian multivariate Beveridge–Nelson decomposition of I(1) and I(2) series with cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(3), pages 387-415, June.
    • Murasawa, Yasutomo, 2019. "Bayesian multivariate Beveridge--Nelson decomposition of I(1) and I(2) series with cointegration," MPRA Paper 91979, University Library of Munich, Germany.
12. Robert Dixon & G. C. Lim, 2013. "A univariate model of aggregate labour productivity," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2695-2695, June.
    • R. Dixon & G. Lim, 2012. "A univariate model of aggregate labour productivity," Applied Economics, Taylor & Francis Journals, vol. 44(5), pages 581-585, February.
    • Robert Dixon & G. C. Lim, 2012. "A univariate model of aggregate labour productivity," Applied Economics, Taylor & Francis Journals, vol. 44(16), pages 2075-2080, June.
    • Robert Dixon & G. C. Lim, 2008. "A Univariate Model of Aggregate Labour Productivity," Melbourne Institute Working Paper Series wp2008n09, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
13. Boz, Emine & Daude, Christian & Bora Durdu, C., 2011. "Emerging market business cycles: Learning about the trend," Journal of Monetary Economics, Elsevier, vol. 58(6), pages 616-631.
14. Han, Yang & Liu, Zehao & Ma, Jun, 2020. "Growth cycles and business cycles of the Chinese economy through the lens of the unobserved components model," China Economic Review, Elsevier, vol. 63(C).
15. Xu, Zhiwei, 2008. "Univariate Unobserved-Component Model with Non-Random Walk Permanent Component," MPRA Paper 46162, University Library of Munich, Germany.
16. Tommaso Proietti, 2021. "Predictability, real time estimation, and the formulation of unobserved components models," Econometric Reviews, Taylor & Francis Journals, vol. 40(5), pages 433-454, April.
    • Tommaso Proietti, 2019. "Predictability, Real Time Estimation, and the Formulation of Unobserved Components Models," CEIS Research Paper 455, Tor Vergata University, CEIS, revised 22 Mar 2019.
17. repec:dgr:rugsom:12009-eef is not listed on IDEAS
18. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
19. Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
    • Luis Uzeda, 2016. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," ANU Working Papers in Economics and Econometrics 2016-632, Australian National University, College of Business and Economics, School of Economics.
    • Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
20. Tobias Hartl, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," Papers 2102.10067, arXiv.org.
21. Dungey, Mardi & Jacobs, Jan & Tian, Jing & Norden, Simon van, 2012. "On trend-cycle decomposition and data revision," Research Report 12009-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
22. Hartl, Tobias, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242380, Verein für Socialpolitik / German Economic Association.
23. Mardi Dungey & Jan P.A.M. Jacobs & Jing Jian & Simon van Norden, 2013. "Trend-Cycle Decomposition: Implications from an Exact Structural Identification," CIRANO Working Papers 2013s-23, CIRANO.
    • Mardi Dungey & Jan P. A. M. Jacobs & Jing Tian & Simon van Norden, 2013. "Trend-cycle decomposition: implications from an exact structural identification," Working Papers 13-22, Federal Reserve Bank of Philadelphia.
24. Giacomo Sbrana & Andrea Silvestrini, 2024. "The structural Theta method and its predictive performance in the M4-Competition," Temi di discussione (Economic working papers) 1457, Bank of Italy, Economic Research and International Relations Area.
25. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.
26. Maddalena Cavicchioli, 2023. "Trend and cycle decomposition of Markov switching (co)integrated time series," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(5), pages 1381-1406, December.