We develop and estimate a general equilibrium model in which monetary policy can deviate from active inflation stabilization and agents face uncertainty about the nature of these deviations. When observing a deviation, agents conduct Bayesian learning to infer its likely duration. Under...

We show that policy uncertainty about how the rising public debt will be stabilized accounts for the lack of deflation in the US economy at the zero lower bound. We first estimate a Markov-switching VAR to highlight that a zero-lower-bound regime captures most of the comovements during the Great...

Since the 2001 recession, average core inflation has been below the Federal Reserve's 2% target. This deflationary bias is a predictable consequence of the current symmetric monetary policy strategy that fails to recognize the risk of encountering the zero-lower-bound. An asymmetric rule...

What happens if the government's willingness to stabilize a large stock of debt is waning, while the central bank is adamant about preventing a rise in inflation? The large fiscal imbalance brings about inflationary pressures, triggering a monetary tightening, further debt accumulation, and...

The COVID pandemic found policymakers facing constraints on their ability to react to an exceptionally large negative shock. The current low interest rate environment limits the tools the central bank can use to stabilize the economy, while the large public debt curtails the efficacy of fiscal...

We develop a new class of general equilibrium models with partially unfunded debt to propose a fiscal theory of trend inflation. In response to business cycle shocks, the monetary authority controls inflation, and the fiscal authority stabilizes debt. However, the central bank accommodates...

This paper develops a dynamic general equilibrium model with heterogeneous firms that face search complementarities in the formation of vendor contracts. Search complementarities amplify small differences in productivity among firms. Market concentration fosters monopsony power in the labor...

We examine the rise of dark shipping - oil tankers disabling AIS transceivers to evade detection - amid Western sanctions on Iran, Syria, North Korea, Venezuela, and Russia. Using a machine learning-based ship clustering model, we track dark-shipped crude oil trade flows worldwide and detect...

We study the causal effects and policy implications of global supply chain disruptions. We construct a new index of supply chain disruptions from the mandatory automatic identification system data of container ships, developing a novel spatial clustering algorithm that determines real-time...

We develop a quantitative business cycle model with search complementarities in the inter-firm matching process that entails a multiplicity of equilibria. An active static equilibrium with strong joint venture formation, large output, and low unemployment can coexist with a passive static...