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How do changes in monetary policy affect bank lending? An analysis of Austrian bank data

Author

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  • Sylvia Kaufmann

    (Oesterreichische Nationalbank, Economic Studies Division, P.O. Box 61, A-1010 Vienna, Austria)

  • Sylvia Frühwirth-Schnatter

    (Johannes Kepler Universität Linz, Department of Applied Statistics and Econometrics, Altenberger Strasse 69, A-4040 Linz, Austria)

Abstract

Using a panel of Austrian bank data we show that the lending decisions of the smallest banks are more sensitive to interest rate changes, and that for all banks, sensitivity changes over time. We propose to estimate the groups of banks that display similar lending reactions by means of a group indicator which, after estimation, indicates each bank's classification. Additionally, we estimate a state indicator that indicates the periods during which the lending reaction differs from what we normally observe. Bayesian methods are used for estimation; a sensitivity analysis and a forecast evaluation confirm our model choice. Copyright © 2006 John Wiley & Sons, Ltd.

Suggested Citation

  • Sylvia Kaufmann & Sylvia Frühwirth-Schnatter, 2006. "How do changes in monetary policy affect bank lending? An analysis of Austrian bank data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 275-305.
  • Handle: RePEc:jae:japmet:v:21:y:2006:i:3:p:275-305
    DOI: 10.1002/jae.830
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    File URL: http://qed.econ.queensu.ca:80/jae/2006-v21.3/
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    References listed on IDEAS

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    1. Francesco Giavazzi, 1999. "The Transmission Mechanism of Monetary Policy in Europe: Evidence from Banks’ Balance Sheets," Working papers 99-20, Massachusetts Institute of Technology (MIT), Department of Economics.
    2. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    3. Asea, Patrick K. & Blomberg, Brock, 1998. "Lending cycles," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 89-128.
    4. Albert, James H & Chib, Siddhartha, 1993. "Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 1-15, January.
    5. G.J. De Bondt, 1999. "Banks and monetary transmission in Europe: empirical evidence," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 52(209), pages 149-168.
    6. Bernanke, Ben S, 1983. "Nonmonetary Effects of the Financial Crisis in Propagation of the Great Depression," American Economic Review, American Economic Association, vol. 73(3), pages 257-276, June.
    7. Mishkin, Frederic S., 1978. "The Household Balance Sheet and the Great Depression," The Journal of Economic History, Cambridge University Press, vol. 38(04), pages 918-937, December.
    8. Fruhwirth-Schnatter, Sylvia & Kaufmann, Sylvia, 2008. "Model-Based Clustering of Multiple Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 78-89, January.
    9. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    10. Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
    11. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, January.
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    Citations

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    Cited by:

    1. Christian Merkl & Stephanie Stolz, 2009. "Banks' regulatory buffers, liquidity networks and monetary policy transmission," Applied Economics, Taylor & Francis Journals, vol. 41(16), pages 2013-2024.
    2. Fisher, Mark & Jensen, Mark J., 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
    3. Burgstaller Johann, 2010. "Bank Lending and Monetary Policy Transmission in Austria," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 163-185, April.
    4. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, "undated". "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.
    5. Sylvia Kaufmann, 2010. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.
    6. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," Working Paper series 18-12, Rimini Centre for Economic Analysis.
    7. Iwanicz-Drozdowska, Małgorzata & Witkowski, Bartosz, 2016. "Credit growth in Central, Eastern, and South-Eastern Europe: The case of foreign bank subsidiaries," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 146-158.
    8. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    9. Sylvia Frühwirth-Schnatter, 2011. "Panel data analysis: a survey on model-based clustering of time series," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 5(4), pages 251-280, December.

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