What are the Differences in Trend Cycle Decompositions by Beveridge and Nelson and by Unobserved Component Models?
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DOI: 10.1080/07474938.2014.945335
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Cited by:
- Mardi Dungey & Jan P.A.M. Jacobs & Jing Tian, 2017.
"Forecasting output gaps in the G-7 countries: the role of correlated innovations and structural breaks,"
Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4554-4566, September.
- Dungey, Mardi & Jacobs, Jan P.A.M. & Tian, Jing, 2016. "Forecasting output gaps in the G-7 countries: The role of correlated Innovations and structural breaks," Working Papers 2016-04, University of Tasmania, Tasmanian School of Business and Economics.
- 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.
- 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.
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