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Using a Projection Method to Analyze Inflation Bias in a Micro-Founded Model


Gary Stanley Anderson


Federal Reserve Board

Jinill Kim


Korea University

Tack Yun


Federal Reserve Board - Division of Monetary Affairs

March, 11 2011


Abstract:     
Since Kydland and Prescott (1977) and Barro and Gordon (1983), most studies of the problem of the inflation bias associated with discretionary monetary policy have assumed a quadratic loss function. We depart from the conventional linear-quadratic approach to the problem in favor of a projection method approach. We investigate the size of the inflation bias that arises in a microfounded nonlinear environment with Calvo price setting. The inflation bias is found to lie between 1% and 6% for a reasonable range of parameter values, when the bias is defined as the steady-state deviation of the discretionary inflation rate from the optimal inflation rate under commitment.

Number of Pages in PDF File: 29

Keywords: Inflation Bias, Discretionary Monetary Policy, Projection Methods

JEL Classification: E31, E52, C61, C63

working papers series


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Date posted: March 11, 2011  

Suggested Citation

Anderson, Gary Stanley, Kim, Jinill and Yun, Tack, Using a Projection Method to Analyze Inflation Bias in a Micro-Founded Model (March, 11 2011). Available at SSRN: http://ssrn.com/abstract=1783637 or http://dx.doi.org/10.2139/ssrn.1783637

Contact Information

Gary Stanley Anderson (Contact Author)
Federal Reserve Board ( email )
20th Street and Constitution Avenue NW
Washington, DC 20551
United States
Jinill Kim
Korea University ( email )
1 Anam-dong 5 ka
Seoul, 136-701
Korea
Tack Yun
Federal Reserve Board - Division of Monetary Affairs ( email )
20th and C Streets, NW
Washington, DC 20551
United States
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