We estimate the distribution of marginal propensities to consume (MPCs) using a novel clustering approach that generalizes the fuzzy C-means algorithm to regression settings. We apply the estimator to the 2008 stimulus payments, exploiting the randomized timing of disbursements, and find...

We propose a new, computationally-efficient way to approximate the “grouped fixed-effects” (GFE) estimator of Bonhomme and Manresa (2015), which estimates grouped patterns of unobserved heterogeneity. To do so, we generalize the fuzzy C-means objective to regression settings. As the...

This paper studies the link between firm-level financial constraints and employment decisions, as well as the implications for the propagation of aggregate shocks. I exploit the idea that, when the financial constraint binds, a firm adjusts its employment in response to cash flow shocks. I...

Can the macroeconomic effects of credit supply shocks be large even when a small share of firms are credit-constrained? I use U.K. firm-level accounting data to discipline a heterogeneous-firm model in which the interaction between real and financial frictions induces precautionary cash...

What role does stock investment play in the transmission of monetary policy to the real economy? We study this question using a New Keynesian model with heterogeneous households. Following a monetary tightening, stock market participants rebalance their investments away from stocks, in line with...

We study the early stages of firm creation under imperfect information. Because startups make error-prone decisions due to rational inattention, the model generates both inefficient entry and labor misallocation. We show that information frictions alter the effects of lump-sum transfers to...

This paper describes a weekly economic index (WEI) developed to track the rapid economic developments associated with the onset of and policy response to the novel coronavirus in the United States. The WEI is a weekly composite index of real economic activity, with eight of ten series available...

Identification via heteroskedasticity exploits differences in variances across regimes to identify parameters in simultaneous equations. I study weak identification in such models, which arises when variances change very little or the variances of multiple shocks change close to proportionally....

An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the residual covariance across time if the structural shocks exhibit heteroskedasticity (Rigobon (2003), Sentana and Fiorentini (2001)). However, the path of residual covariances...

We use a decade of daily survey data from Gallup to study how monetary policy influences households' beliefs about economic conditions. We first document that public confidence in the state of the economy reacts instantaneously to certain types of macroeconomic news. Next, we show that surprises...