Estimation of dynamic stochastic general equilibrium (DSGE) models using state space methods implies vector autoregressive moving average (VARMA) representations of the observables. Following Lippi and Reichlin’s (1994) analysis of nonfundamentalness, this note highlights the potential dangers of non-uniqueness, both of estimates of deep parameters and of structural innovations. ∗Department of ...

This paper develops a new framework of level-k DSGE for monetary policy analysis. Incomplete markets are introduced to guarantee the eductive stability of the equilibrium. k=1.265 is identified using growth and inflation expectations from the Michigan Survey of Consumers, capturing the missing indirect channels and weakened direct channels in households’ forecast rules, as well as the wedge bet...

n recent years, there has been a significant evolution in the formulation and communication of monetary policy at a number of central banks around the world. Many of these banks now present their economic outlook and policy strategies to the public in a more formal way, a process accompanied by the introduction of modern analytical tools and advanced econometric methods in forecasting and polic...

I investigate how a model that assumes learning might interact with a rational expectations data generating process. Milani (2007b) asserts that if agents are learning and there is no conditional heteroscedasticity then an econometrician may be fooled into estimating ARCH/GARCH models. In addition, I evaluate the contribution of a new endogenous gain, which I have proposed in previous paper, ma...