Detecting recessions in the Great Moderation: a real-time analysis
The nature of the business cycle, particularly in the United States, has changed dramatically over the past several decades. In the 1970s and early 1980s, the U.S. economy often whipsawed up and down. Since then, real economic activity stabilized considerably, entering a period economists call the “Great Moderation.” With the ups and downs of the economy becoming less dramatic, it has become harder to determine in real-time when the economy dips into recession. ; Economists have a variety of methods to determine when the economy is entering a recession. These methods range from directly analyzing a broad spectrum of data to the formal use of recession prediction models. The National Bureau of Economic Research (NBER) uses the first approach, relying on several data series to make a determination of when the economy enters or exits a recession. Their decisions are intended to be accurate, not timely. More formal recession prediction models are designed to send a timely signal, but often do not take account of how the Great Moderation has altered the business cycle. ; Davig uses a framework that efficiently uses a large set of data in a “business cycle tracking” model. The model accounts for shifts in overall economic volatility – to capture the Great Moderation – and sends a signal when the economy is shifting between periods of low and high economic activity. The model can be used in different ways to extract a signal regarding whether the economy is likely heading for an NBER recession.
Volume (Year): (2008)
Issue (Month): Q IV ()
|Contact details of provider:|| Postal: One Memorial Drive, Kansas City, MO 64198|
Phone: (816) 881-2254
Web page: http://www.kansascityfed.org
More information through EDIRC
|Order Information:|| Email: |
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Alejandro Justiniano & Giorgio E. Primiceri, 2008.
"The Time-Varying Volatility of Macroeconomic Fluctuations,"
American Economic Review,
American Economic Association, vol. 98(3), pages 604-641, June.
- Alejandro Justiniano & Northwestern University, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," Computing in Economics and Finance 2006 219, Society for Computational Economics.
- Giorgio Primiceri & Alejandro Justiniano, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," 2006 Meeting Papers 353, Society for Economic Dynamics.
- Alejandro Justiniano & Giorgio E. Primiceri, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," NBER Working Papers 12022, National Bureau of Economic Research, Inc.
- 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.
- Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- Gabriel Perez-Quiros & Margaret M. McConnell, 2000. "Output Fluctuations in the United States: What Has Changed since the Early 1980's?," American Economic Review, American Economic Association, vol. 90(5), pages 1464-1476, December.
- Margaret M. McConnell & Gabriel Perez Quiros, 1997. "Output fluctuations in the United States: what has changed since the early 1980s?," Research Paper 9735, Federal Reserve Bank of New York.
- Margaret M. McConnell & Gabriel Perez Quiros, 1998. "Output fluctuations in the United States: what has changed since the early 1980s?," Staff Reports 41, Federal Reserve Bank of New York.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
- Jushan Bai & Peng Wang, 2011. "Conditional Markov chain and its application in economic time series analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 715-734, 08.
- Bai, Jushan & Wang, Peng, 2011. "Conditional Markov chain and its application in economic time series analysis," MPRA Paper 33369, University Library of Munich, Germany.
- Marcelle Chauvet & James D. Hamilton, 2005. "Dating Business Cycle Turning Points," NBER Working Papers 11422, National Bureau of Economic Research, Inc.
- Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
- Jean Boivin & Marc P. Giannoni, 2003. "Has Monetary Policy Become More Effective?," NBER Working Papers 9459, National Bureau of Economic Research, Inc.
- Boivin, Jean & Giannoni, Marc, 2006. "Has Monetary Policy Become More Effective?," CEPR Discussion Papers 5463, C.E.P.R. Discussion Papers.
- Chauvet, Marcelle & Piger, Jeremy, 2008. "A Comparison of the Real-Time Performance of Business Cycle Dating Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 42-49, January.
- Marcelle Chauvet & Jeremy M. Piger, 2005. "A comparison of the real-time performance of business cycle dating methods," Working Papers 2005-021, Federal Reserve Bank of St. Louis.
- Charles L. Evans & Chin Te Liu & Genevieve Pham-Kanter, 2002. "The 2001 recession and the Chicago Fed National Index: identifying business cycle turning points," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 26-43. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:fip:fedker:y:2008:i:qiv:p:5-33:n:v.93no.4. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (LDayrit)
If references are entirely missing, you can add them using this form.