Trend and Cycles in U.S. Real GDP
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References listed on IDEAS
- Peter K. Clark, 1987. "The Cyclical Component of U. S. Economic Activity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(4), pages 797-814.
- Julio J. Rotemberg, 1999.
"A Heuristic Method for Extracting Smooth Trends from Economic Time Series,"
NBER Working Papers
7439, National Bureau of Economic Research, Inc.
- Julio Rotemberg, 1999. "Matlab code for A Method for Decomposing Time Series into Trend and Cycle Components," QM&RBC Codes 75, Quantitative Macroeconomics & Real Business Cycles.
- Olivier Blanchard & John Simon, 2001. "The Long and Large Decline in U.S. Output Volatility," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 135-174.
- Agustín Maravall, 1996. "Unobserved Components in Economic Time Series," Working Papers 9609, Banco de España.
Citations
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Cited by:
- Monika Ruschinski, 2006. "Investigating the Cyclical Properties of World Trade," ifo Working Paper Series 30, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Flaig Gebhard, 2003. "Seasonal and Cyclical Properties of Ifo Business Test Variables / Saisonale und zyklische Eigenschaften von ifo Konjunkturtest Variablen," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(5), pages 556-570, October.
- Klaus Abberger & Gebhard Flaig & Wolfgang Nierhaus, 2007. "ifo Konjunkturumfragen und Konjunkturanalyse : ausgewählte methodische Aufsätze aus dem ifo Schnelldienst," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 33.
- Harm Bandholz & Gebhard Flaig & Johannes Mayr, 2005. "Wachstum und Konjunktur in OECD-Ländern: Eine langfristige Perspektive," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(04), pages 28-36, February.
- Gebhard Flaig, 2002. "Unoberserved Components Models for Quarterly German GDP," CESifo Working Paper Series 681, CESifo.
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