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 theory of sectoral fluctuations driven by the propagation of demand shocks along supply chains with heterogeneous time-to-build production. We solve the model in closed form. Downstream producers respond directly to current demand. Upstream producers, due to time-to-build delays,...

We find evidence suggesting that surveys of professional forecasters are biased by strategic incentives. First, we find that individual forecasts overreact to idiosyncratic information but underreact to common information. Second, we show that this bias is not present in forecasts data that is...

We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, gradient linear boosting). While much less used in the literature, the latter are found to outperform...

We propose a new tool to filter non-linear dynamic models that does not require the researcher to specify the model fully and can be implemented without solving the model. If two conditions are satisfied, we can use a flexible statistical model and a known measurement equation to back out the...

This paper investigates why the U.S. unemployment rate rose only a few percentage points despite the dramatic decline in government spending and other upheaval at the end of World War II. Using a new longitudinal data set based on archival sources and government surveys, we study the many facets...

Post-covid inflation was predominantly driven by unexpectedly strong demand forces, not only in the United States, but also in the Euro Area. In comparison, the inflationary impact of adverse supply shocks was less pronounced, even though these shocks significantly constrained economic activity....

This paper studies household inequality and product market power in dynamic, general equilibrium. In our model, households' price elasticities of demand endogenously vary with wealth. Heterogeneous firms set their price as oligopolistic competitors given the endogenous distribution of demand. A...

We argue that deep learning provides a promising avenue for taming the curse of dimensionality in quantitative economics. We begin by exploring the unique challenges posed by solving dynamic equilibrium models, especially the feedback loop between individual agents' decisions and the aggregate...

We present evidence that the high estimated MPCs from the leading household studies result in implausible macroeconomic counterfactuals. Using the 2008 tax rebate as a case study, we calibrate a standard medium-scale New Keynesian model with the estimated micro MPCs to construct counterfactual...