We propose a method for estimating a subset of the parameters of a structural rational expectations model by exploiting changes in policy. We define a class of models, midway between a vector autoregression and a structural model, that we call the recoverable structure. As an application of our...

A number of authors have attemted to test whether the U.S. economy is in a determinate or an indeterminate equilibrium. We argue that to answer this question, one must be impose a priori restrictions on lag length that cannot be tested. We provide examples of two economic models. Model 1...

We study identiÞcation in a class of three-equation monetary models. We argue that these models are typically not identiÞed. For any given exactly identiffed model, we provide an algorithm that generates a class of equivalent models that have the same reduced form. We use our algorithm to...

We develop a technique for analyzing the response dynamics of economic variables to structural shocks in linear rational expectations models. Our work differs fromstandard SVARs since we allow expectations of future variables to enter structural equations. We show how to estimate the...

We study identification in a class of linear rational expectations models. For any givenexactly identified model, we provide an algorithm that generates a class of equivalentmodels that have the same reduced form. We use our algorithm to show that a modelproposed by Jess Benhabib and Roger...

We develop a technique for analyzing the response dynamics of economic variables to structural shocks in linear rational expectations models. Our work differs fromstandard SVARs since we allow expectations of future variables to enter structural equations. We show how to estimate the...

DSGE models are characterized by the presence of expectations as explanatory variables. To use these models for policy evaluation, the econometrician must estimate the parameters of expectation terms. Standard estimation methods have several drawbacks, including possible lack or weakness of...