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Investigating structural differences of the Czech economy: Does asymmetry of shocks matter?


  • Pavel Herber


  • Daniel Němec



The goal of this paper is to evaluate heterogeneity between the Czech Republic and the Euro area, because different behavior of agents or asymmetric shocks cut benefits from the entering monetary union. For this purpose, we introduce a two-country dynamic stochastic general equilibrium model that allows different sources of heterogeneity between countries. We focus on differences in structural parameters and asymmetry of shocks hitting the two economies. Using Bayesian techniques, we estimate various specifications of log-linear models (unrestricted and nested) and then we test different sources of heterogeneity. Our results indicate that the main sources of heterogeneity are price and wage rigidities and the asymmetry of shocks. On the other hand, we have found strong evidence in favor of homogeneity in parameters describing utility function of households.

Suggested Citation

  • Pavel Herber & Daniel Němec, 2012. "Investigating structural differences of the Czech economy: Does asymmetry of shocks matter?," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 19(29).
  • Handle: RePEc:czx:journl:v:19:y:2012:i:29:id:188

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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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    Cited by:

    1. Georgiadis, Georgios & Jancokova, Martina, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization and Monetary Policy Institute Working Paper 314, Federal Reserve Bank of Dallas.

    More about this item


    Two-country DSGE model; Bayesian estimation; Structural heterogeneity; Asymmetric shocks;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics


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