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Identification of Financial and Macroeconomic Shocks in a Var Model of the Polish Economy. A Stability Analysis

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  • Ulrichs Magdalena

    (University of Lodz, Department of Econometrics, Faculty of Economics and Sociology, Rewolucji 1905 r. 41, 90-214 Łódź, Poland)

Abstract

Dynamic macroeconomic models (both VAR and DSGE) currently play a very significant role in macroeconomic modelling. But these types of models rarely take into account the impact of financial markets on the behaviour of economies, they are rather more focused on the monetary transmission mechanism. The financial crisis of 2007-2008 highlighted the impact of the financial market on the macroeconomy. In this context macroprudential policy and financial stability analysis has gained a stronger meaning. The main aim of the paper is to estimate a model that simultaneously explains the dynamics of macroeconomic and financial variables and to assess whether the identified relationships are stable over time. Therefore, based on the estimated empirical structural vector autoregression model explaining the interactions between the real economy, the financial system and monetary policy in Poland, financial and macroeconomic shocks were identified. It was shown that the impulse reaction functions changed after the financial crisis. On the basis of Markov‑ Switching vector autoregression model probabilities of transitions between states of the economy and the regime-dependent impulse reaction functions were estimated.

Suggested Citation

  • Ulrichs Magdalena, 2018. "Identification of Financial and Macroeconomic Shocks in a Var Model of the Polish Economy. A Stability Analysis," Economics and Business Review, Sciendo, vol. 4(1), pages 29-43, April.
    • Handle: RePEc:vrs:ecobur:v:4:y:2018:i:1:p:29-43:n:3
    DOI: 10.18559/ebr.2018.1.3
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    References listed on IDEAS

    as
    1. Moen, Jon R. & Tallman, Ellis W., 2000. "Clearinghouse Membership and Deposit Contraction during the Panic of 1907," The Journal of Economic History, Cambridge University Press, vol. 60(1), pages 145-163, March.
    2. Nason, James M. & Tallman, Ellis W., 2015. "Business Cycles And Financial Crises: The Roles Of Credit Supply And Demand Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 19(4), pages 836-882, June.
    3. Vito Polito & Mike Wickens, 2012. "Optimal monetary policy using an unrestricted VAR," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(4), pages 525-553, June.
    4. Helmut Lütkepohl, 2005. "New Introduction to Multiple Time Series Analysis," Springer Books, Springer, number 978-3-540-27752-1, April.
    5. Markku Lanne & Helmut Lütkepohl, 2008. "Identifying Monetary Policy Shocks via Changes in Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1131-1149, September.
    6. Jean Boivin & Marc P. Giannoni & Dalibor Stevanović, 2020. "Dynamic Effects of Credit Shocks in a Data-Rich Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 272-284, April.
    7. Popp, Aaron & Zhang, Fang, 2016. "The macroeconomic effects of uncertainty shocks: The role of the financial channel," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 319-349.
    8. Ehrmann, Michael & Ellison, Martin & Valla, Natacha, 2003. "Regime-dependent impulse response functions in a Markov-switching vector autoregression model," Economics Letters, Elsevier, vol. 78(3), pages 295-299, March.
    9. Arratibel, Olga & Michaelis, Henrike, 2013. "The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR," Discussion Papers in Economics 21088, University of Munich, Department of Economics.
    10. Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
    11. Nilsen, Jeffrey H, 2002. "Trade Credit and the Bank Lending Channel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 226-253, February.
    12. repec:zbw:bofrdp:2001_011 is not listed on IDEAS
    13. Dobromił Serwa & Piotr Wdowiński, 2016. "Macro-financial linkages in the Polish economy: combined impulse-response functions in SVAR models," NBP Working Papers 246, Narodowy Bank Polski.
    14. Kanngiesser, Derrick & Martin, Reiner & Maurin, Laurent & Moccero, Diego, 2017. "Estimating the impact of shocks to bank capital in the euro area," Working Paper Series 2077, European Central Bank.
    15. repec:ecb:ecbwps:20111426 is not listed on IDEAS
    16. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
    17. Kishan, Ruby P & Opiela, Timothy P, 2000. "Bank Size, Bank Capital, and the Bank Lending Channel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(1), pages 121-141, February.
    18. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, January.
    19. Bálint Tamási & Balázs Világi, 2011. "Identification of credit supply shocks in a Bayesian SVAR model of the Hungarian economy," MNB Working Papers 2011/7, Magyar Nemzeti Bank (Central Bank of Hungary).
    20. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    21. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    22. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
    23. Mariusz Kapuściński & Andrzej Kocięcki & Halina Kowalczyk & Tomasz Łyziak & Jan Przystupa & Ewa Stanisławska & Anna Sznajderska & Ewa Wróbel, 2016. "Monetary policy transmission mechanism in Poland.What do we know in 2015?," NBP Working Papers 249, Narodowy Bank Polski.
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