Identifying structural shocks behind loan supply fluctuations in Russia
AbstractWe examine the drivers behind loan supply fluctuations in Russia using Bayesian vector autoregressive model with sign restrictions on impulse response functions. We identify two types of structural innovations: loan supply shock and monetary stance shock. We find that contractionary shocks of both types contributed significantly and in the roughly equal measure to the decrease of bank lending after the Lehman Brothers collapse.
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Bibliographic InfoPaper provided by Bank of Finland, Institute for Economies in Transition in its series BOFIT Discussion Papers with number 20/2011.
Length: 38 pages
Date of creation: 22 Aug 2011
Date of revision:
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More information through EDIRC
loan supply; Bayesian VAR; sign restrictions; financial crisis; Russia;
Find related papers by 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
- E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-08-29 (All new papers)
- NEP-CBA-2011-08-29 (Central Banking)
- NEP-CIS-2011-08-29 (Confederation of Independent States)
- NEP-TRA-2011-08-29 (Transition Economics)
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