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Inflation Expectations and Monetary Policy

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Author Info
Jan Filáček () (Czech National Bank)

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Abstract

This paper shows that an economy’s behavior differs significantly according to assumptions made on the formation of inflation expectations. We analyzed the behavior of an open economy in a regime of explicit inflation targeting with commitment. The economy is exposed to three different shocks – demand, supply, and exchange rate – and its reaction is analyzed under three different assumptions on inflation-expectations formation: naive, rational, and adaptive learning. The economy in which rational expectations were assumed showed the least volatile development and minimized the central bank’s loss function. The stabilizing effect of this forward-looking type of expectation was most evident in the case of supply shock. When naive expectations were assumed, the economy reacted to all shocks with significantly bigger and longer-lasting fluctuations. The worst results were obtained assuming adaptive-learning expectations, where shocks lead to large oscillations and the economy stabilized only several years after the shock.

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Publisher Info
Article provided by Charles University Prague, Faculty of Social Sciences in its journal Finance a uver - Czech Journal of Economics and Finance.

Volume (Year): 55 (2005)
Issue (Month): 7-8 (July)
Pages: 380-394
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Handle: RePEc:fau:fauart:v:55:y:2005:i:7-8:p:380-394

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Related research
Keywords: inflation expectation; model simulation; monetary policy;

Find related papers by JEL classification:
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

Cited by:
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  1. John C. Williams, 2006. "Monetary policy in a low inflation economy with learning," Working Paper Series 2006-30, Federal Reserve Bank of San Francisco. [Downloadable!]
Statistics
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