Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data
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DOI: 10.1002/jae.1076
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- Sylvia Kaufmann, 2008. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data," Working Papers 144, Oesterreichische Nationalbank (Austrian Central Bank).
References listed on IDEAS
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Citations
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Cited by:
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013.
"Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model,"
Working Papers
2013:17, Department of Economics, University of Venice "Ca' Foscari", revised 2014.
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2014. "Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model," Working Papers No 8/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model," Working Paper 2013/20, Norges Bank.
- Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.
- Neville Francis & Michael T. Owyang & Ozge Savascin, 2017.
"An endogenously clustered factor approach to international business cycles,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1261-1276, November.
- Neville Francis & Michael T. Owyang & Özge Savascin, 2012. "An endogenously clustered factor approach to international business cycles," Working Papers 2012-014, Federal Reserve Bank of St. Louis, revised 10 Feb 2017.
- Roberto Casarin & Komla Mawulom Agudze & Monica Billio & Eric Girardin, 2014. "Growth-cycle phases in China�s provinces: A panel Markov-switching approach," Working Papers 2014:19, Department of Economics, University of Venice "Ca' Foscari".
- Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019.
"Bayesian nonparametric sparse VAR models,"
Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
- Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse VAR models," Papers 1608.02740, arXiv.org, revised Oct 2018.
- Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.
- Hernández-Murillo, Rubén & Owyang, Michael T. & Rubio, Margarita, 2017.
"Clustered housing cycles,"
Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 185-197.
- Rubén Hernández-Murillo & Michael T Owyang & Margarita Rubio, 2013. "Clustered Housing Cycles," Discussion Papers 2013/02, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
- Ruben Hernandez-Murillo & Michael T. Owyang & Margarita Rubio, 2015. "Clustered Housing Cycles," Working Papers (Old Series) 1524, Federal Reserve Bank of Cleveland, revised 22 Oct 2015.
- Ruben Hernandez-Murillo & Michael T. Owyang & Margarita Rubio, 2013. "Clustered housing cycles," Working Papers 2013-021, Federal Reserve Bank of St. Louis, revised 23 Sep 2015.
- Roberto Casarin & Claudia Foroni & Massimiliano Marcellino & Francesco Ravazzolo, 2016.
"Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model,"
Working Papers
585, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Casarin, Roberto & Foroni, Claudia & Marcellino, Massimiliano & Ravazzolo, Francesco, 2017. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," CEPR Discussion Papers 12339, C.E.P.R. Discussion Papers.
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- Dolores Gadea-Rivas, M. & Gómez-Loscos, Ana & Bandrés, Eduardo, 2018.
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- M. D. Gadea-Rivas & Ana Gómez-Loscos & Eduardo Bandrés, 2017. "Clustering regional business cycles," Working Papers 1744, Banco de España;Working Papers Homepage.
- Ana Gómez-Loscos & M. Dolores Gadea & Eduardo Bandres, 2020.
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- Gomez-Loscos, Ana & Gadea, M. Dolores & Bandres, Eduardo, 2018. "Business cycle patterns in European regions," MPRA Paper 83964, University Library of Munich, Germany.
- Sylvia Kaufmann, 2011. "K-state switching models with endogenous transition distributions," Working Papers 2011-13, Swiss National Bank.
- Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse seemingly unrelated regression model (SUR)," Working Papers 2016:20, Department of Economics, University of Venice "Ca' Foscari".
- Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008.
"Methods for inference in large multiple-equation Markov-switching models,"
Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
- Christopher A. Sims & Daniel F. Waggoner & Tao Zha, 2006. "Methods for inference in large multiple-equation Markov-switching models," FRB Atlanta Working Paper 2006-22, Federal Reserve Bank of Atlanta.
- Antonio Pacifico, 2019. "Structural Panel Bayesian VAR Model to Deal with Model Misspecification and Unobserved Heterogeneity Problems," Econometrics, MDPI, Open Access Journal, vol. 7(1), pages 1-1, March.
- Michael T. Owyang & Jeremy M. Piger & Daniel Soques, 2019. "Contagious Switching," Working Papers 2019-14, Federal Reserve Bank of St. Louis.
- Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
More about this item
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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