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Understanding DSGE Filters in Forecasting and Policy Analysis

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  • Andrle, Michal

Abstract

The paper introduces methods that allow analysts to (i) decompose the estimates of unobserved quantities into observed data and (ii) impose subjective prior constraints on path estimates of unobserved shocks in structural economic models. For instance, decomposition of output gap to output, inflation, interest rates and other observables contribution is feasible. The intuitive nature and the analytical clarity of procedures suggested are appealing for policy-related and forecasting models. The paper brings some of the power embodied in the theory of linear multivariate filters, namely relatinship between Kalman and Wiener-Kolmogorov filtering, into the area of structural multivariate models, expressed in linear state-space form.

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  • Andrle, Michal, 2012. "Understanding DSGE Filters in Forecasting and Policy Analysis," Dynare Working Papers 16, CEPREMAP.
    • Handle: RePEc:cpm:dynare:016
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    References listed on IDEAS

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    1. Mr. Roberto Garcia-Saltos & Mr. Douglas Laxton & Michal Andrle & Haris Munandar & Charles Freedman & Danny Hermawan, 2009. "Adding Indonesia to the Global Projection Model," IMF Working Papers 2009/253, International Monetary Fund.
    2. Jaromír Beneš & Andrew Binning & Kirdan Lees, 2008. "Incorporating judgement with DSGE models," Reserve Bank of New Zealand Discussion Paper Series DP2008/10, Reserve Bank of New Zealand.
    3. 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.
    4. Pierce, David A., 1980. "Data revisions with moving average seasonal adjustment procedures," Journal of Econometrics, Elsevier, vol. 14(1), pages 95-114, September.
    5. Christoph Schleicher, 2003. "Kolmogorov-Wiener Filters for Finite Time Series," Computing in Economics and Finance 2003 109, Society for Computational Economics.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    8. Koopman, Siem Jan & Harvey, Andrew, 2003. "Computing observation weights for signal extraction and filtering," Journal of Economic Dynamics and Control, Elsevier, vol. 27(7), pages 1317-1333, May.
    9. Mr. Jaromir Benes & Mr. Papa M N'Diaye, 2004. "A Multivariate Filter for Measuring Potential Output and the NAIRU Application to the Czech Republic," IMF Working Papers 2004/045, International Monetary Fund.
    10. Doran, Howard E, 1992. "Constraining Kalman Filter and Smoothing Estimates to Satisfy Time-Varying Restrictions," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 568-572, August.
    11. International Monetary Fund, 2010. "Estimating Potential Output with a Multivariate Filter," IMF Working Papers 2010/285, International Monetary Fund.
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    Cited by:

    1. Chung, Hess & Fuentes-Albero, Cristina & Paustian, Matthias & Pfajfar, Damjan, 2021. "Latent variables analysis in structural models: A New decomposition of the kalman smoother," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    2. Nicholas Sander, 2013. "Fresh perspectives on unobservable variables: Data decomposition of the Kalman smoother," Reserve Bank of New Zealand Analytical Notes series AN2013/09, Reserve Bank of New Zealand.
    3. Salome Tvalodze & Shalva Mkhatrishvili & Tamar Mdivnishvili & Davit Tutberidze & Zviad Zedginidze, 2016. "The National Bank of Georgia's Forecasting and Policy Analysis System," NBG Working Papers 01/2016, National Bank of Georgia.
    4. Salome Tvalodze & Shalva Mkhatrishvili & Tamar Mdivnishvili & Davit Tutberidze & Zviad Zedginidze, 2016. "The National Bank of Georgia's Forecasting and Policy Analysis System," NBG Working Papers 01/2016, National Bank of Georgia.

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    More about this item

    Keywords

    filter; DSGE; state-space; observables decomposition; judgement;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

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