This paper estimates a New Keynesian model with trend inflation and contrasts Taylor rules featuring fixed versus time-varying inflation target while allowing for passive monetary policy. The estimation is conducted over the Great Inflation and the Great Moderation periods. Time-varying...

We develop a theory of low-frequency movements in inflation expectations, and use it to interpret joint dynamics of inflation and inflation expectations for the United States and other countries over the post-war period. In our theory long-run inflation expectations are endogenous. They are...

At any time, the public should be able to evaluate whether the Reserve Bank of Australia's interest rate decisions are consistent with achieving statutory mandates. The current policy and communication strategy makes this difficult. The mandates, as interpreted by the RBA, fail to provide a...

This paper proposes a theory of the fiscal foundations of inflation based on imperfect knowledge and learning. Because imperfect knowledge breaks Ricardian equivalence the scale and composition of the public debt matter for inflation. High moderate-duration debt generates wealth effects on...

Survey data on expectations of a range of macroeconomic variables exhibit low-frequency drift. In a New Keynesian model consistent with these empirical properties, optimal policy in general delivers a positive inflation rate in the long run. Two special cases deliver classic outcomes under...

We develop a model with labor-market matching frictions that is subject to a range of shocks, including shocks to matching efficiency and bargaining power, and use the model to examine how monetary policy should respond to such shocks. We show that optimal monetary policy is highly efficient at...

This paper evaluates how adaptive learning agents weight different pieces of information when forming expectations with a recursive least squares algorithm. The analysis is based on a renewed and more general non-recursive representation of the learning algorithm, namely, a penalized weighted...

Coibion and Gorodnichenko (2015) provide a useful framework to test the null hypothesis of full-information rational expectations against two popular classes of information rigidities, sticky information (SI) and noisy information (NI). However, the observational equivalence of SI and NI in...

This paper evaluates how initial beliefs uncertainty can affect data weighting and the estimation of models with adaptive learning. One key finding is that misspecification of initial beliefs uncertainty, particularly with the common approach of artificially inflating initials uncertainty to...