April 2010

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

Gary S. Anderson, Jinill Kim, and Tack Yun


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.

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Keywords: Inflation bias, discretionary monetary policy, projection methods

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