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...

Our current inflation stemmed from a fiscal shock. The Fed is slow to react. Why? Will the Fed's slow reaction spur more inflation? I write a simple model that encompasses the Fed's mild projections and its slow reaction, and traditional views that inflation will surge without swift rate rises....

For decades, households' subjective expectations elicited via surveys have been considered meaningless because they often differ substantially from the forecasts of professionals and ex-post realizations. In sharp contrast, the literature we review shows household characteristics and the ways in...

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 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...

Using data from a large survey of American households, we compare density forecasts elicited with bins- and scenarios-based questions. We show that inflation density forecasts are sensitive to the survey question designs used to elicit them. The within-person discrepancy is smaller, but still...

We develop a theory of labor markets with four features: search frictions, worker productivity shocks, wage rigidity, and two-sided lack of commitment. Inefficient job separations occur in the form of endogenous quits and layoffs that are unilaterally initiated whenever a worker's...

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...

This paper combines new data and a narrative approach to identify shocks to political pressure on the Federal Reserve. From archival records, I build a data set of personal interactions between U.S. Presidents and Fed officials between 1933 and 2016. Since personal interactions do not...

We show that in Heterogeneous-Agent New-Keynesian (HANK) economies with countercyclical risk the natural interest rate is endogenous and co-moves with output, leaving the economy susceptible to self-fulfilling fluctuations. Unlike in Representative-Agent New-Keynesian models, the Taylor...