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Modelování makroekonomických agregátů české a slovenské ekonomiky pomocí var modelů
[Modelling Macroeconomic Aggregates of the Czech and Slovak Economies Using Var Models]

Author

Listed:
  • Radmila Krkošková

Abstract

The aim of the paper is to analyse, model and compare selected macroeconomic variables of the Czech and Slovak economies and their dynamics using VAR models. This article shows an application of a selected model on real-time series of chosen macroeconomic indicators using four variables (R - interest rate, M - money supply (M2), P - price level (CPI), Y - GDP). We identify and test two long-run relationships. The following hypotheses have been confirmed: H1: a change in monetary aggregate affects a change in price level and a change in economic growth; H2: there is a causal relationship between GDP and M2; H3: there is a direct correlation between interest rates and the price level anticipated in the Fisher equation. The following methods are used: Granger causality, impulse response function, cointegration and error correction models. In the end, econometric models of macroeconomic time series are compared in the Czech and Slovak economies. The calculations used EViews software.

Suggested Citation

  • Radmila Krkošková, 2019. "Modelování makroekonomických agregátů české a slovenské ekonomiky pomocí var modelů [Modelling Macroeconomic Aggregates of the Czech and Slovak Economies Using Var Models]," Politická ekonomie, Prague University of Economics and Business, vol. 2019(6), pages 593-610.
  • Handle: RePEc:prg:jnlpol:v:2019:y:2019:i:6:id:1262:p:593-610
    DOI: 10.18267/j.polek.1262
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    References listed on IDEAS

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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Driscoll, John C. & Holden, Steinar, 2014. "Behavioral economics and macroeconomic models," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 133-147.
    3. Anthony Garratt & Kevin Lee & M. Hashem Pesaran & Yongcheol Shin, 2003. "A Long run structural macroeconometric model of the UK," Economic Journal, Royal Economic Society, vol. 113(487), pages 412-455, April.
    4. Dia, Enzo & VanHoose, David, 2017. "Banking in macroeconomic theory and policy," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 149-160.
    5. Pami Dua, 2023. "Macroeconomic Modelling and Bayesian Methods," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 19-37, Springer.
    6. Katrin Assenmacher-Wesche & M. Hashem Pesaran, 2008. "A VECX Model of the Swiss Economy," CESifo Working Paper Series 2281, CESifo.
    7. Katerina Arnostova & Jaromir Hurnik, 2005. "The Monetary Transmission Mechanism in the Czech Republic (evidence from VAR analysis)," Working Papers 2005/04, Czech National Bank.
    8. Kevin D. Hoover & Soren Johansen & Katarina Juselius, 2008. "Allowing the Data to Speak Freely: The Macroeconometrics of the Cointegrated Vector Autoregression," American Economic Review, American Economic Association, vol. 98(2), pages 251-255, May.
    9. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    10. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    11. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    12. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
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    More about this item

    Keywords

    ADF test; Czech economy; Granger causality; Johansen test; Slovak economy;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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