We build a model in which the Fed and market disagree about future aggregate demand. The anticipates monetary policy “mistakes,” affect current demand induce to partially accommodate market’s view. expects implement its view gradually. Announcements that reveal an unexpected change Fed’s belief provide microfoundation for shocks. Tantrum shocks arise when misinterprets overreacts announcement. ...

We examine robustness of stability under learning to observability of exogenous shocks. Regardless of observability assumptions, the minimal state variable solution is robustly stable under learning provided the expectational feedback is not both positive and large, while the nonfundamental solution is never robustly stable. Overlapping generations and New Keynesian models are considered and co...

The papers in this symposium address the issue of multiple equilibria that can be induced by monetary policy in models with capital accumulation. In particular they examine how the “Taylor Principle”, under which interest rates respond more than proportionately to increases in inflation, can generate multiple equilibria. They also explore the design of policies to avoid the problem of multiple ...

In this paper the authors explore the ability of simple monetary models with bounded rationality to account for the joint distribution of money and prices. They impose restrictions on the size of the mistakes agents can make in equilibrium and argue that countries with high inflation are likely to satisfy these restrictions. Their computations show that the model with bounded rationality does n...

In this paper, we re-examine the empirical relevance of the cost channel of monetary policy. We employ recently developed moment-conditions inference procedures, which provide a more e¢ cient and reliable econometric framework than in previous literature. Using US data, our results suggest that there is no substantial evidence for the existence of a cost channel. Keywords: Cost channel; Phillip...

This paper combines a data-rich environment with machine learning algorithm to provide new estimates of time-varying systematic expectational errors (“belief distortions”) embedded in survey responses. We find sizable distortions even for professional forecasters, all respondent-types overweighting the implicit judgmental component their forecasts relative what can be learned from publicly avai...

We study optimal time-consistent monetary and fiscal policy in a New Keynesian model where occasional declines agents’ confidence give rise to persistent liquidity trap episodes. Insights from widely studied fundamental-driven traps are not useful guide for enhancing welfare this model. Raising the inflation target, appointing an inflation-conservative central banker, or allowing use of governm...

We develop a deep learning model to detect emotions embedded in press conferences after the Federal Open Market Committee meetings and examine influence of detected on financial markets. find that, controlling for Reserve’s actions sentiment policy texts, positive tone voices Reserve chairs leads significant increases share prices. Other variables also respond vocal cues from chairs. Hence, how...

We provide predictions for DSGE models with incomplete information that are robust across structures. Our approach maps an incomplete-information model into a full-information economy time-varying expectation wedges and provides conditions ensure the rationalizable by some structure. Using our approach, we quantify potential importance of as source business cycle fluctuations in otherwise frict...

We use microdata collected at the border and store to characterize price impact of recent US trade policy on importers, exporters, consumers. At border, import tariff pass-through is much higher than exchange rate pass-through. Chinese exporters did not lower their dollar prices by much, despite appreciation dollar. By contrast, significantly lowered affected foreign retaliatory tariffs. In sto...