The Financial Accelerator under Learning and the Role of Monetary Policy
In: Monetary Policy under Financial Turbulence
Financial frictions have been shown to play an important role amplifying business cycles fluctuations. In this paper we show that the financial accelerator mechanism, analyzed by Bernanke, Gertler and Gilrchrist (1999), combined with adaptive learning can amplify business cycle fluctuations significantly as the balance sheet channel interacts with the presence of endogenous asset price “bubbles”. These large business cycle fluctuations are amplified in a non-linear way by the size of the shocks and by the degree of financial fragility in the economy determined by its leverage. Our preliminary results indicate that even in the presence of endogenous bubbles, responding aggressively to inflation reduces output and inflation volatility. If the central bank adjusts its policy instrument in response to asset price fluctuations, it may reduce output volatility and even inflation volatility in the short run. However, that monetary policy conduct leads to a surge in inflation several periods after the shocks. A policy that aggressively responds to changes in asset prices may marginally reduce output volatility with respect to a policy that reacts aggressively to inflation, but also at the cost of generating inflationary pressures.
(This abstract was borrowed from another version of this item.)
|This chapter was published in: Luis Felipe Céspedes & Roberto Chang & Diego Saravia (ed.) Monetary Policy under Financial Turbulence, , chapter 07, pages 185-218, 2011.|
|This item is provided by Central Bank of Chile in its series Central Banking, Analysis, and Economic Policies Book Series with number v16c07pp185-218.|
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- Slobodyan, Sergey & Wouters, Raf, 2012.
"Learning in an estimated medium-scale DSGE model,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 36(1), pages 26-46.
- Sergey Slobodyan & Raf Wouters, 2009. "Learning in an Estimated Medium-Scale DSGE Model," CERGE-EI Working Papers wp396, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Marcet, Albert & Sargent, Thomas J., 1989. "Convergence of least squares learning mechanisms in self-referential linear stochastic models," Journal of Economic Theory, Elsevier, vol. 48(2), pages 337-368, August.
- Gilchrist, Simon & Leahy, John V., 2002. "Monetary policy and asset prices," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 75-97, January.
- Richard H. Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary policy rules in practice," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- Alejandro Justiniano & Bruce Preston, 2010. "Monetary policy and uncertainty in an empirical small open-economy model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 93-128.
- Alejandro Justiniano & Bruce Preston, 2009. "Monetary policy and uncertainty in an empirical small open economy model," Working Paper Series WP-09-21, Federal Reserve Bank of Chicago.
- Dupor, Bill, 2005. "Stabilizing non-fundamental asset price movements under discretion and limited information," Journal of Monetary Economics, Elsevier, vol. 52(4), pages 727-747, May.
- Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September. Full references (including those not matched with items on IDEAS)