Mixed frequency structural models: estimation, and policy analysis
In this paper we show analytically, with simulation experiments and with actual data that a mismatch between the time scale of a DSGE model and that of the time series data used for its estimation generally creates identfication problems, introduces estimation bias and distorts the results of policy analysis. On the constructive side, we prove that the use of mixed frequency data, combined with a proper estimation approach, can alleviate the temporal aggregation bias, mitigate the identfication issues, and yield more reliable policy conclusions. The problems and possible remedy are illustrated in the context of standard structural monetary policy models.
|Date of creation:||11 Jun 2013|
|Date of revision:|
|Contact details of provider:|| Postal: Postboks 1179 Sentrum, 0107 Oslo|
Phone: +47 22 31 60 00
Fax: +47 22 41 31 05
Web page: http://www.norges-bank.no/
More information through EDIRC
References listed on IDEAS
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.:
- Glenn D. Rudebusch & Jeffrey C. Fuhrer, 2002.
"Estimating the Euler equation for output,"
Working Paper Series
2002-12, Federal Reserve Bank of San Francisco.
- anonymous, 2008. "Monetary policy report to the Congress," Web Site 34, Board of Governors of the Federal Reserve System (U.S.).
- anonymous, 2008. "Monetary policy report to the Congress," Web Site 16, Board of Governors of the Federal Reserve System (U.S.).
- Richard Clarida & Jordi Galí & Mark Gertler, 2000.
"Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 115(1), pages 147-180.
- Richard Clarida & Jordi Galí & Mark Gertler, 1997. "Monetary policy rules and macroeconomic stability: Evidence and some theory," Economics Working Papers 350, Department of Economics and Business, Universitat Pompeu Fabra, revised May 1999.
- Clarida, R. & Gali, J. & Gertler, M., 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and some Theory," Working Papers 98-01, C.V. Starr Center for Applied Economics, New York University.
- Richard Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," NBER Working Papers 6442, National Bureau of Economic Research, Inc.
- Clarida, Richard & Galí, Jordi & Gertler, Mark, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," CEPR Discussion Papers 1908, C.E.P.R. Discussion Papers.
- Frank Smets & Rafael Wouters, 2007.
"Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach,"
American Economic Review,
American Economic Association, vol. 97(3), pages 586-606, June.
- Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
- Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series 0722, European Central Bank.
- Frank Smets & Raf Wouters, 2007. "Shocks and Frictions in US Business Cycles : a Bayesian DSGE Approach," Working Paper Research 109, National Bank of Belgium.
- Oscar Jorda, 2003.
"Random-Time Aggregation In Partial Ajustment Models,"
9732, University of California, Davis, Department of Economics.
- Jorda, Oscar, 1999. "Random-Time Aggregation in Partial Adjustment Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 382-95, July.
- Oscar Jorda, . "Random-Time Aggregation In Partial Ajustment Models," Department of Economics 97-32, California Davis - Department of Economics.
- Lawrence J. Christiano & Martin Eichenbaum, 1987.
"Temporal aggregation and structural inference in macroeconomics,"
306, Federal Reserve Bank of Minneapolis.
- Christiano, Lawrence J. & Eichenbaum, Martin, 1987. "Temporal aggregation and structural inference in macroeconomics," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 26(1), pages 63-130, January.
- Lawrence J. Christiano & Martin S. Eichenbaum, 1986. "Temporal Aggregation and Structural Inference in Macroeconomics," NBER Technical Working Papers 0060, National Bureau of Economic Research, Inc.
- ., 2008. "Population Aging, Financial Markets and Monetary Policy," Chapters, in: Frontiers in Pension Finance, chapter 11 Edward Elgar Publishing.
- Roberto S. Mariano & Yasutomo Murasawa, 2010. "A Coincident Index, Common Factors, and Monthly Real GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 27-46, 02.
- Bent Jesper Christensen & Olaf Posch & Michel van der Wel, 2011. "Estimating Dynamic Equilibrium Models using Macro and Financial Data," CREATES Research Papers 2011-21, Department of Economics and Business Economics, Aarhus University.
When requesting a correction, please mention this item's handle: RePEc:bno:worpap:2013_15. 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: ()
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.