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Effects of Fiscal Policy in the DSGE-VAR Framework: The Case of the Czech Republic

Author

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  • Jan Babecky
  • Michal Franta
  • Jakub Rysanek

Abstract

In this paper we explore the potential of the DSGE-VAR modelling approach for examining the effects of fiscal policy. The combination of the VAR and DSGE frameworks leads theoretically to more accurate estimates of impulse responses and consequently of fiscal multipliers. Moreover, the framework allows for discussion about the differences of the effects of fiscal shocks in DSGE and VAR models and to some extent discussion about misspecification in fiscal DSGE models. The DSGE-VAR model is estimated on Czech data covering the period from 1996 to 2011 at quarterly frequency. The government consumption multiplier attains a value close to 0.4 at the horizon of four years. The public investment multiplier is about 0.4 higher, which confirms findings in the literature. On the other hand, the DSGE model alone implies a similar government consumption multiplier but a much lower public investment multiplier, suggesting misspecification of the fiscal DSGE model.

Suggested Citation

  • Jan Babecky & Michal Franta & Jakub Rysanek, 2016. "Effects of Fiscal Policy in the DSGE-VAR Framework: The Case of the Czech Republic," Working Papers 2016/09, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2016/09
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    References listed on IDEAS

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    1. Lees, Kirdan & Matheson, Troy & Smith, Christie, 2011. "Open economy forecasting with a DSGE-VAR: Head to head with the RBNZ published forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 512-528.
    2. Christina D. Romer & David H. Romer, 2010. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," American Economic Review, American Economic Association, vol. 100(3), pages 763-801, June.
    3. Philip Liu & Konstantinos Theodoridis, 2012. "DSGE Model Restrictions for Structural VAR Identification," International Journal of Central Banking, International Journal of Central Banking, vol. 8(4), pages 61-95, December.
    4. Eric M. Leeper & Nora Traum & Todd B. Walker, 2017. "Clearing Up the Fiscal Multiplier Morass," American Economic Review, American Economic Association, vol. 107(8), pages 2409-2454, August.
    5. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
    6. Eric M. Leeper & Nora Traum & Todd B. Walker, 2015. "Clearing Up the Fiscal Multiplier Morass: Prior and Posterior Analysis," NBER Working Papers 21433, National Bureau of Economic Research, Inc.
    7. Michal Franta, 2012. "Macroeconomic Effects of Fiscal Policy in the Czech Republic: Evidence Based on Various Identification Approaches in a VAR Framework," Working Papers 2012/13, Czech National Bank.
    8. Vladimir Klyuev & Stephen Snudden, 2011. "Effects of Fiscal Consolidation in the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(4), pages 306-326, August.
    9. Ambriško, Róbert & Babecký, Jan & Ryšánek, Jakub & Valenta, Vilém, 2015. "Assessing the impact of fiscal measures on the Czech economy," Economic Modelling, Elsevier, vol. 44(C), pages 350-357.
    10. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, June.
    11. Jesús Crespo Cuaresma & Markus Eller & Aaron Mehrotra, 2011. "The Economic Transmission of Fiscal Policy Shocks from Western to Eastern Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 44-68.
    12. Gunter Coenen & Roland Straub & Mathias Trabandt, 2012. "Fiscal Policy and the Great Recession in the Euro Area," American Economic Review, American Economic Association, vol. 102(3), pages 71-76, May.
    13. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    14. Ingram, Beth F. & Whiteman, Charles H., 1994. "Supplanting the 'Minnesota' prior: Forecasting macroeconomic time series using real business cycle model priors," Journal of Monetary Economics, Elsevier, vol. 34(3), pages 497-510, December.
    15. Olivier Blanchard & Roberto Perotti, 2002. "An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output," The Quarterly Journal of Economics, Oxford University Press, vol. 117(4), pages 1329-1368.
    16. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    17. Lippi, Marco & Reichlin, Lucrezia, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(3), pages 644-652, June.
    18. Cole, Stephen J. & Milani, Fabio, 2019. "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 974-1007, April.
    19. Barbara Rossi & Sarah Zubairy, 2011. "What Is the Importance of Monetary and Fiscal Shocks in Explaining U.S. Macroeconomic Fluctuations?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(6), pages 1247-1270, September.
    20. repec:ecb:ecbwps:20111429 is not listed on IDEAS
    21. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
    22. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521839198, June.
    23. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    Cited by:

    1. Zdeněk Pikhart, 2019. "Fiskální impuls a pokrizový odhad fiskálních multiplikátorů v české republice [Fiscal Impulse and Post-crisis Estimate of Fiscal Multipliers in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2019(6), pages 577-592.
    2. Robert Ambrisko, 2019. "Fiscal Devaluation in a Small Open Economy," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 67-88, March.
    3. DJINKPO, Medard, 2019. "A DSGE model for Fiscal Policy Analysis in The Gambia," MPRA Paper 97874, University Library of Munich, Germany, revised 30 Dec 2019.

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    More about this item

    Keywords

    DSGE-VAR model; fiscal multipliers; fiscal shocks; identification; model misspecification;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General

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