What explains record U.S. house price growth since late 2019? We show that the shift to remote work explains over one half of the 23.8 percent national house price increase over this period. Using variation in remote work exposure across U.S. metropolitan areas we estimate that an additional...

We consider a New Keynesian model with downward nominal wage rigidity (DNWR) and show that government spending is much more effective in stimulating output in a low-inflation recession relative to a high-inflation recession. The government spending multiplier is large when DNWR binds, but the...

Disequilibrating macro shocks affect different firms' prospects differently, increasing idiosyncratic variation in forward-looking stock returns before affecting economic growth. Consistent with most such shocks from 1947 to 2020 enhancing productivity, increased idiosyncratic stock return...

We study a model where households make decisions according to a dual-process framework widely used in cognitive psychology. System 1 uses effortless heuristics but is susceptible to biases and errors. System 2 uses mental effort to make more accurate decisions. Through their pricing behavior,...

We study a new type of monetary-fiscal interaction in a heterogeneous-agent New Keynesian model with a fiscal block. Due to household heterogeneity, the stock of public debt affects the natural interest rate, forcing the central bank to adapt its monetary policy rule to the fiscal stance to...

We show that firms' nominal required returns to capital (i.e., their discount rates) are sticky with respect to expected inflation. Such nominally sticky discount rates imply that increases in expected inflation directly lower firms' real discount rates and thereby raise real investment. We...

We develop a model of self-fulfilling default cycles with demand externality a la Dixit- Stiglitz to explain the recurrent clustered defaults observed in the data. The literature reports that observable fundamental factors alone are insufficient to explain the cluster. A decline in aggregate...

We develop a novel method for the identification of monetary policy shocks. By applying natural language processing techniques to documents that Federal Reserve staff prepare in advance of policy decisions, we capture the Fed's information set. Using machine learning techniques, we then predict...

We study the transmission of monetary policy through bank securities portfolios using granular supervisory data on U.S. bank securities, hedging positions, and corporate credit. Banks that experienced larger losses on their securities during the 2022-2023 monetary tightening cycle extended less...

Stock markets play a dual role: help allocate capital by conveying information about firms' fundamentals and provide liquidity by quickly turning stocks into cash. We propose a trading model in which these two roles are endogenously related: more intensive use of stocks for liquidity affects...