In the present paper we use a balanced bank panel data set to obtain an inference on two dimensions of the asymmetric response of bank lending to interest rate changes. The cross-sectional dimension is captured by group-specific parameters whereby each bank’s group membership is estimated along with the model parameters. Moreover, the asymmetric response over time is modelled with switching parameters that depend on a latent state variable. The presence of two latent indicators calls for Bayesian simulation methods. The results show that three bank groups, characterized by the groups' average asset total, differ in their lending reaction to interest rate changes. Some sensitivity analysis comparing the results for different group specifications and the models' out-of-sample forecasting performance confirms our model specification.
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Paper provided by Oesterreichische Nationalbank (Austrian Central Bank) in its series Working Papers with number
85.
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy 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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Asea, Patrick K. & Blomberg, Brock, 1998.
"Lending cycles,"
Journal of Econometrics,
Elsevier, vol. 83(1-2), pages 89-128.
[Downloadable!] (restricted)
Other versions:
Patrick K. Asea & S. Brock Blomberg, 1997.
"Lending Cycles,"
NBER Working Papers
5951, National Bureau of Economic Research, Inc.
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Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Werner Hölzl & Sögner Leopold, 2004.
"Entry and Exit Dynamics in Austrian Manufacturing,"
Working Papers
geewp36, Vienna University of Economics and B.A. Research Group: Growth and Employment in Europe: Sustainability and Competitiveness.
[Downloadable!]