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Identification of credit supply shocks in a Bayesian SVAR model of the Hungarian economy

Author

Listed:
  • Bálint Tamási

    () (Magyar Nemzeti Bank (central bank of Hungary))

  • Balázs Világi

    () (Magyar Nemzeti Bank (central bank of Hungary))

Abstract

Using Hungarian macroeconomic and financial data, we estimate a Bayesian structural VAR model suitable for macroprudential simulations. We identify standard macroeconomic and credit supply shocks by sign and zero restrictions. In contrast to the previous literature, different types of credit shocks are distinguished in our paper: a risk assessment and a policy shock. Our main findings are the following. First, we demonstrate that both credit supply and macroeconomic shocks explain the variance of endogenous variables at roughly similar order of magnitude. Second, it is shown that credit supply shocks do not have a dominant role in the decline of the Hungarian economy over the crisis period that started in 2008, although their contribution was non-negligible. Third, the importance of unidentified shocks increased in the crisis period.

Suggested Citation

  • 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).
  • Handle: RePEc:mnb:wpaper:2011/7
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    File URL: http://www.mnb.hu/letoltes/wp-2011-07.pdf
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    References listed on IDEAS

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    1. Balázs Vonnák, 2010. "Risk Premium Shocks, Monetary Policy And Exchange Rate Pass-Through In The Czech Republic, Hungary And Poland," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 28(61), pages 306-351, August.
    2. Helbling, Thomas & Huidrom, Raju & Kose, M. Ayhan & Otrok, Christopher, 2011. "Do credit shocks matter? A global perspective," European Economic Review, Elsevier, vol. 55(3), pages 340-353, April.
    3. Zoltán Reppa, 2009. "A joint macroeconomic-yield curve model for Hungary," MNB Working Papers 2009/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    4. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., pages 99-132.
    5. Roland Meeks, 2009. "Credit market shocks: evidence from corporate spreads and defaults," Working Papers 0906, Federal Reserve Bank of Dallas.
    6. Zoltán M. Jakab & Viktor Várpalotai & Balázs Vonnák, 2006. "How does monetary policy affect aggregate demand? A multimodel approach for Hungary," MNB Working Papers 2006/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    7. Del Giovane, Paolo & Eramo, Ginette & Nobili, Andrea, 2011. "Disentangling demand and supply in credit developments: A survey-based analysis for Italy," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2719-2732, October.
    8. Jørn Inge Halvorsen & Dag Henning Jacobsen, 2009. "Are bank lending shocks important for economic fluctuations?," Working Paper 2009/27, Norges Bank.
    9. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
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    Citations

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    Cited by:

    1. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.

    More about this item

    Keywords

    Bayesian SVAR; zero and sign restrictions; credit supply shocks;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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