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DSGE model with nominal rigidities: estimation and assessing of fit


  • Miroslav Hloušek


This paper deals with estimation of DSGE model of open economy with nominal rigidities and assessing of its data fit. The model is estimated using Bayesian techniques on data of Czech economy. Estimated values of structural parameters are economically interpreted. Assessing of model fit to data is carried out along several dimensions. Firstly, the fitted series are compared with observed series. Secondly, the volatility and the autocorrelations implied by the model are compared with the statistics calculated from the data. And thirdly, estimated unobserved shocks give picture of important events in the Czech economy. The results of the analysis show that model has problem in replicating import inflation and hours worked. Besides visual assessment, calculated standard deviations of model variables and observed variables indicate that volatility of wage inflation is higher in the model and volatility of import inflation is lower in the model than in the data. The auto correlations of nominal interest rate, CPI inflation and output growth are not matched well by the model. Estimates of unobserved shocks show that period of recession in 1997 had many sources. High nominal interest rates can be ascribed to monetary policy and risk premium shocks, decline in output growth is consequence of negative productivity shock. High inflation in late 90's is partly explained as rise in markups of domestic producers. Despite few failures, overall fit of the model to the data can be considered as satisfactory.

Suggested Citation

  • Miroslav Hloušek, 2008. "DSGE model with nominal rigidities: estimation and assessing of fit," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 15(25).
  • Handle: RePEc:czx:journl:v:15:y:2008:i:25:id:158

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    References listed on IDEAS

    1. Dirk Tasche, 2004. "The single risk factor approach to capital charges in case of correlated loss given default rates," Papers cond-mat/0402390,, revised Feb 2004.
    2. Konstantin Belyaev & Aelita Belyaeva & Tomas Konecny & Jakub Seidler & Martin Vojtek, 2012. "Macroeconomic Factors as Drivers of LGD Prediction: Empirical Evidence from the Czech Republic," Working Papers 2012/12, Czech National Bank, Research Department.
    3. Acharya, Viral V. & Bharath, Sreedhar T. & Srinivasan, Anand, 2007. "Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries," Journal of Financial Economics, Elsevier, vol. 85(3), pages 787-821, September.
    4. Jiri Witzany, 2011. "A Two Factor Model for PD and LGD Correlation," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 18(28).
    5. Jon Frye, 2000. "Depressing recoveries," Emerging Issues, Federal Reserve Bank of Chicago, issue Oct.
    6. Stefano Caselli & Stefano Gatti & Francesca Querci, 2008. "The Sensitivity of the Loss Given Default Rate to Systematic Risk: New Empirical Evidence on Bank Loans," Journal of Financial Services Research, Springer;Western Finance Association, vol. 34(1), pages 1-34, August.
    7. Seidler, Jakub & Horvath, Roman & Jakubík, Petr, 2009. "Estimating expected loss given default in an emerging market: the case of Czech Republic," Journal of Financial Transformation, Capco Institute, vol. 27, pages 103-107.
    8. De Graeve, F. & Kick, T. & Koetter, M., 2008. "Monetary policy and financial (in)stability: An integrated micro-macro approach," Journal of Financial Stability, Elsevier, vol. 4(3), pages 205-231, September.
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    More about this item


    DSGE model; open economy; nominal rigidities; Bayesian estimation; maximum likelihood; data fit;

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications


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