Rational expectations solutions are usually derived by assuming that all state variables relevant to forward-looking behaviour are directly observable, or that they are "...an invertible function of observables" (Mehra and Prescott, 1980). Using a framework that nests linearised DSGE models, we...

We provide a microfounded account of imperfect information in a dynamic general equilibrium model by describing heterogeneous households that acquire information only through their participation in markets. Thus incomplete markets will imply incomplete information. We solve the model taking full...

Information is "market-consistent" if agents only use market prices to infer the underlying states of the economy. This paper applies this concept to a stochastic growth model with incomplete markets and heterogeneous agents. The economy with market-consistent information can never replicate the...

We construct a dynamic general equilibrium model in which household debt is sticky in nominal terms and debtor households are credit constrained. Interest payments on debt contracts may be at floating rates or fixed for the duration of the contract. A key result is that a simple static Taylor...

We relax the assumption of full information that underlies most dynamic general equilibrium models, and instead assume agents optimally form estimates of the states from an incomplete information set. We derive a version of the Kalman filter that is endogenous to agents' optimising decisions,...

We provide a microfounded account of imperfect information in the stochastic growth model which dramatically changes the properties of the model. We describe heterogenous households that acquire information about aggregates through their participation in markets. If markets are incomplete,...

We provide a microfounded account of imperfect information in a dynamic general equilibrium model by describing heterogeneous households that acquire information only through their participation in markets. Thus incomplete markets will imply incomplete information. We solve the model taking full...