The paper evaluates the performance of three popular monetary policy rules when the central bank is learning aboutthe parameter values of a simple New Keynesian model. The three policies are: (1) the optimal non-inertial rule; (2)the optimal history-dependent rule; (3) the optimal price-level...

This paper studies an advantage of commitment over discretion when a central bankobserves only noisy measures of current inflation and output, in the context of an optimizingmodel with nominal-price stickiness. Under a commitment regime, if current policy turns outto be too expansionary...

This paper considers the determination of aggregate price level under dispersed information.A Central Bank sets policy in response to its noisy measure of the price level, andeach agent makes its decisions by observing a subset of data. Information revealed to theagents and the bank is...

Using a model of island economy where financial markets aggregate dispersed informationof the public, we analyze how two-way communication between the central bankand the public affects inflation dynamics. When inflation target is observable and credibleto the public, markets provide the bank...

An optimizingmodel, with a flexible-price sector and a sticky-price sector, ispresented to analyze the effects of relative-price changes on inflation fluctuations. Therelative price of the flexible-price good represents a shift parameter of the NewKeynesian Phillips curve. The optimal monetary...

We describe a behavior of a central bank when its measures of current inflation and outputare subject to measurement errors, in a framework of optimizing models with nominal pricestickiness. In our model, a central bank sets the interest rate equal to its current estimate of theso-called...

We consider a general equilibrium model with frictions in credit markets used by households. Inour economy, houses provide housing services to consumers and serve as collateral to lower borrowingcost.We show that this amplifies and propagates the effect of monetary policy shocks on...