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I present an undetermined coefficients method for obtaining a linear approximating to the solution of a dynamic, rational expectations model. I also show how that solution can be used to compute the model's implications for impulse response functions and for second moments.
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We develop and implement a limited information diagnostic strategy for assessing the plausibility of monetary business cycle models. Our strategy focuses on a model's ability to reproduce empirical estimates of an actual economy's response to monetary policy shocks. A key input to this diagnostic is a univariate time series representation of the response of money to a shock in monetary policy. We find that a monetary policy shock has only a small contemporaneous effect on the monetary base and M1. Its primary effect is to signal future movements in the money supply. We implement our diagnostic strategy on a limited participation model of money which stresses the importance of credit market frictions in the monetary transmission mechanism.
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This paper reviews recent research that grapples with the question: What happens after an exogenous shock to monetary policy? We argue that this question is interesting because it lies at the center of a particular approach to assessing the empirical plausibility of structural economic models that can be used to think about systematic changes in monetary policy institutions and rules. The literature has not yet converged on a particular set of assumptions for identifying the effects of an exogenous shock to monetary policy. Nevertheless, there is considerable agreement about the qualitative effects of a monetary policy shock in the sense that inference is robust across a large subset of the identification schemes that have been considered in the literature. We document the nature of this agreement as it pertains to key economic aggregates.
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