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Parameter Drifting in a DSGE Model Estimated on Czech Data

Author

Abstract
In this article, the authors investigate the possible time-varying structure of DSGE models. They follow the study of Andrle et al. (2009), which argues that models designed for monetary policy analysis and forecasting of an economy that is undergoing structural changes must include exogenous processes (technologies) capturing the specific characteristics of individual sectors. The authors conclude that the presence of structural changes and the convergence process in the data imply drifting of structural parameters in the model without technologies. Incorporating technologies causes the structural parameters to be relatively stable. From the perspective of monetary policy analysis and forecasting, it seems more convenient to assume that the structural parameters are stable and use sectoral technologies owing to their aggregate form.

Suggested Citation

  • Jaromir Tonner & Jiri Polansky & Osvald Vašíèek, 2011. "Parameter Drifting in a DSGE Model Estimated on Czech Data," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 510-524, November.
    • Handle: RePEc:fau:fauart:v:61:y:2011:i:5:p:510-524
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    File URL: http://journal.fsv.cuni.cz/storage/1230_tonner.pdf
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    References listed on IDEAS

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    4. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March.
    5. Tovar, Camilo Ernesto, 2009. "DSGE Models and Central Banks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-31.
    6. Brunner, Karl & Meltzer, Allan H., 1976. "The Phillips curve," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 1-18, January.
    7. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2008. "How Structural Are Structural Parameters?," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 83-137, National Bureau of Economic Research, Inc.
    8. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
    9. Mr. Dennis P Botman & David Rose & Mr. Douglas Laxton & Mr. Philippe D Karam, 2007. "DSGE Modeling at the Fund: Applications and Further Developments," IMF Working Papers 2007/200, International Monetary Fund.
    10. Bruha, Jan & Podpiera, Jirí, 2011. "The dynamics of economic convergence: The role of alternative investment decisions," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 1032-1044, July.
    11. Michal Andrle & Tibor Hledik & Ondra Kamenik & Jan Vlcek, 2009. "Implementing the New Structural Model of the Czech National Bank," Working Papers 2009/2, Czech National Bank.
    12. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jan Čapek, 2016. "Structural Changes in the Czech Economy: A DSGE Model Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(1), pages 37-52.
    2. repec:cnb:ocpubv:rb12/2 is not listed on IDEAS
    3. Georgiadis, Georgios & Jančoková, Martina, 2020. "Financial globalisation, monetary policy spillovers and macro-modelling: Tales from 1001 shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    4. repec:cnb:ocpubv:rb11/2 is not listed on IDEAS
    5. Stanislav Tvrz & Osvald Vasicek, 2016. "The Great Recession in the Non-EMU Visegrád Countries: A Nonlinear DSGE Model with Time-Varying Parameters," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(3), pages 207-235, June.
    6. repec:cnb:ocpubv:rb10/2 is not listed on IDEAS
    7. Jakub Rysanek & Jaromir Tonner & Stanislav Tvrz & Osvald Vasicek, 2012. "Monetary Policy Implications of Financial Frictions in the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(5), pages 413-429, November.
    8. repec:cnb:ocpubv:rb10/1 is not listed on IDEAS
    9. Zacek, Jan, 2020. "Should monetary policy lean against the wind? Simulations based on a DSGE model with an occasionally binding credit constraint," Economic Modelling, Elsevier, vol. 88(C), pages 293-311.
    10. Martin Slanicay & Jan Čapek & Miroslav Hloušek, 2016. "Some Notes On Problematic Issues In Dsge Models," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 61(210), pages 79-100, July - Se.
    11. Tvrz Stanislav & Vašíček Osvald, 2016. "Structural changes in the Czech, Slovak and euro area economies during the Great Recession," Review of Economic Perspectives, Sciendo, vol. 16(4), pages 297-336, December.
    12. Jan Zacek, 2018. "Should Monetary Policy Lean against the Wind? An Evidence from a DSGE Model with Occasionally Binding Constraint," Working Papers IES 2018/37, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    13. Miroslav Hloušek, 2016. "The Empirical Implications of the Zero Lower Bound on the Interest Rate: The Case of the Czech Economy," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(2), pages 603-616.
    14. Jan Bruha & Tibor Hledik & Tomas Holub & Jiri Polansky & Jaromir Tonner, 2013. "Incorporating Judgments and Dealing with Data Uncertainty in Forecasting at the Czech National Bank," Research and Policy Notes 2013/02, Czech National Bank.
    15. repec:cnb:ocpubv:rb12/1 is not listed on IDEAS
    16. repec:cnb:ocpubv:rb11/1 is not listed on IDEAS

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    More about this item

    Keywords

    DSGE models; time-varying parameters; Kalman filter;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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