Limited Information Estimation and Evaluation of DSGE Models
We advance the proposition that dynamic stochastic general equilibrium (DSGE) models should not only be estimated and evaluated with full information methods.These require that the complete system of equations be specified properly. Some limited information analysis, which focuses upon specific equations, is therefore likely to be a useful complement to full system analysis. Two major problems occur when implementing limited information methods. These are the presence of forward-looking expectations in the system as well as unobservable non-stationary variables. We present methods for dealing with both of these difficulties, and illustrate the interaction between full and limited information methods using a well known model. Classification-C13, C39, C51, C52, E39
|Date of creation:||Jul 2008|
|Date of revision:|
|Contact details of provider:|| Postal: P.O. Box 2498, Wellington|
Phone: 64 4 471-3767
Fax: 64 4 471-2270
Web page: http://www.rbnz.govt.nz
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.:
- Brundy, James M & Jorgenson, Dale W, 1971. "Efficient Estimation of Simultaneous Equations by Instrumental Variables," The Review of Economics and Statistics, MIT Press, vol. 53(3), pages 207-24, August.
- Kurmann, Andre, 2007. "VAR-based estimation of Euler equations with an application to New Keynesian pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 767-796, March.
- Pagan, Adrian, 1979. "Some consequences of viewing LIML as an iterated Aitken estimator," Economics Letters, Elsevier, vol. 3(4), pages 369-372.
- Norman R. Swanson & Oleg Korenok & Stanislav Radchenko, 2011.
"International Evidence on the Efficacy of new-Keynesian Models of Inflation Persistence,"
Departmental Working Papers
201104, Rutgers University, Department of Economics.
- Oleg Korenok & Stanislav Radchenko & Norman R. Swanson, 2010. "International evidence on the efficacy of new-Keynesian models of inflation persistence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 31-54.
- Oleg Korenok & Stanislav Radchenko & Norman R. Swanson, 2006. "International Evidence on the Efficacy of new-Keynesian Models of Inflation Persistence," Working Papers 0602, VCU School of Business, Department of Economics.
- Norman Swanson & Oleg Korenok & Stanislav Radchenko, 2006. "International Evidence on the Efficacy of new-Keynesian Models of Inflation Persistence," Departmental Working Papers 200617, Rutgers University, Department of Economics.
- Thomas Lubik & Frank Schorfheide, 2003.
"Do Central Banks Respond to Exchange Rate Movements? A Structural Investigation,"
Economics Working Paper Archive
505, The Johns Hopkins University,Department of Economics.
- Lubik, Thomas A. & Schorfheide, Frank, 2007. "Do central banks respond to exchange rate movements? A structural investigation," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1069-1087, May.
- Argia M. Sbordone, 2006.
"U.S. Wage and Price Dynamics: A Limited-Information Approach,"
International Journal of Central Banking,
International Journal of Central Banking, vol. 2(3), September.
- Sbordone, Argia M, 2006. "U.S. Wage and Price Dynamics: A Limited-Information Approach," MPRA Paper 811, University Library of Munich, Germany.
- Argia M. Sbordone, 2006. "U.S. wage and price dynamics: a limited information approach," Staff Reports 256, Federal Reserve Bank of New York.
- Singleton, Kenneth J., 1988. "Econometric issues in the analysis of equilibrium business cycle models," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 361-386.
- Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages S63-84, Suppl. De.
- Binder,M. & Pesaran,H.M., 1995.
"Multivariate Rational Expectations Models and Macroeconomic Modelling: A Review and Some New Results,"
Cambridge Working Papers in Economics
9415, Faculty of Economics, University of Cambridge.
- Michael Binder & M. Hashem Pesaran, 1994. "GAUSS and Matlab codes for Multivariate Rational Expectations Models and Macroeconometric Modelling: A Review and Some New Results," QM&RBC Codes 74, Quantitative Macroeconomics & Real Business Cycles.
- James M. Brundy & Dale W. Jorgenson, 1971. "Efficient estimation of simultaneous equations by instrumental variables," Working Papers in Applied Economic Theory 3, Federal Reserve Bank of San Francisco.
- McCallum, Bennett T, 1976. "Rational Expectations and the Natural Rate Hypothesis: Some Consistent Estimates," Econometrica, Econometric Society, vol. 44(1), pages 43-52, January.
- Regina Kaiser & Agustín Maravall, 2002. "A Complete Model-Based Interpretation of the Hodrick-Prescott Filter: Spuriousness Reconsidered," Working Papers 0208, Banco de España;Working Papers Homepage.
- Alasdair Scott & George Kapetanios & Adrian Pagan, 2005.
"Making a match: combining theory and evidence in policy-oriented macroeconomic modelling,"
Computing in Economics and Finance 2005
462, Society for Computational Economics.
- Kapetanios, G. & Pagan, A. & Scott, A., 2007. "Making a match: Combining theory and evidence in policy-oriented macroeconomic modeling," Journal of Econometrics, Elsevier, vol. 136(2), pages 565-594, February.
- Gourieroux, C. & Monfort, A. & Renault, E., 1992.
92.279, Toulouse - GREMAQ.
When requesting a correction, please mention this item's handle: RePEc:nzb:nzbdps:2008/11. 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: (Reserve Bank of New Zealand Knowledge Centre)
If references are entirely missing, you can add them using this form.