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Asymmetries in Bank Lending Behaviour. - Austria During the 1990s



This paper investigates both cross-sectional asymmetry (related to bank-speci.c characteristics like size and liquidity) and asymmetries over time (potentially related to the overall state of the economy) in Austrian bank lending reaction to monetary policy. The first type of asymmetry is accounted for by including interaction terms, and the second type is captured by latent state-dependent parameters. Estimation is cast into a Bayesian framework, and the posterior inference is obtained using Markov chain Monte Carlo simulation methods. The results document a significant asymmetric effect of interest rate changes over time on bank lending. During economic recovery, lagged interest rate changes have no significant effect on lending. Where the effects are significant, liquidity emerges as the bank characteristic that determines cross-sectional asymmetry.

Suggested Citation

  • Sylvia Kaufmann, 2002. "Asymmetries in Bank Lending Behaviour. - Austria During the 1990s," Working Papers 56, Oesterreichische Nationalbank (Austrian Central Bank).
  • Handle: RePEc:onb:oenbwp:56

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    References listed on IDEAS

    1. Farinha, Luísa & Robalo Marques, Carlos, 2001. "The bank lending channel of monetary policy: identification and estimation using Portuguese micro bank data," Working Paper Series 0102, European Central Bank.
    2. RenÈ Garcia, 2002. "Are the Effects of Monetary Policy Asymmetric?," Economic Inquiry, Western Economic Association International, vol. 40(1), pages 102-119, January.
    3. Michael Ehrmann & Leonardo Gambacorta & Jorge Mart�nez-Pag�s & Patrick Sevestre & Andreas Worms, 2001. "Fynancial Systems and the Role of Banks in Monetary Policy Transmission in the Euro area," Temi di discussione (Economic working papers) 432, Bank of Italy, Economic Research and International Relations Area.
    4. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    5. repec:dgr:rugsom:98c36 is not listed on IDEAS
    6. Kakes, Jan, 1998. "Monetary transmission and business cycle asymmetry," Research Report 98C36, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    7. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    8. Leonardo Gambacorta, 2001. "Bank-Specific Characteristics and Monetary Policy Transmission: The Case of Italy," Temi di discussione (Economic working papers) 430, Bank of Italy, Economic Research and International Relations Area.
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    Cited by:

    1. repec:hal:journl:halshs-00119489 is not listed on IDEAS
    2. Vanessa Redak & Alexander Tscherteu, 2003. "Basel II, Procyclicality and Credit Growth - First Conclusions from QIS 3," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 5, pages 56-69.
    3. Mojon, Benoît & Kashyap, Anil K. & Angeloni, Ignazio & Terlizzese, Daniele, 2002. "Monetary Transmission in the Euro Area : Where Do We Stand?," Working Paper Series 0114, European Central Bank.

    More about this item


    Asymmetry; bank lending; Markov switching; Markov chain Monte Carlo;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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