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provided outstanding research assistance at various stages of this project. Gilchrist and Schoenle thank the National Science Foundation for financial support under grant No. 1357781. All errors and omissions are our own responsibility. The views expressed in this paper are solely the responsibility of the authors and should not be interpreted as reflecting the views of the Board of Governors of the Federal Reserve System, anyone else associated with the Federal Reserve System, or the National Bureau of Economic Research.NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

We survey households about their expectations of the economic fallout of the COVID-19 pandemic, in real time and at daily frequency. Our baseline question asks about the expected impact on output and inflation over a one-year horizon. Starting on March 10, the median response suggests that the expected output loss is still moderate. This changes over the course of three weeks: At the end of March, the expected loss amounts to some 15 percent. Meanwhile, the pandemic is expected to raise inflation considerably. The uncertainty about these effects is very large. In the second part of the paper we feed the survey data into a New Keynesian business cycle model. Because the economic costs of the pandemic have not fully materialized yet but are nonetheless (a) anticipated and (b) uncertain, private expenditure collapses, thereby amplifying and bringing forward in time the economic costs of the pandemic. The short-run economic impact of the pandemic depends critically on whether monetary policy accommodates the drop in the natural rate of interest or not.

In this paper, we establish three new facts about price-setting by multi-product firms and contribute a model that can explain our findings. On the empirical side, using micro-data on U.S. producer prices, we first show that firms selling more goods adjust their prices more frequently but on average by smaller amounts. Moreover, the higher the number of goods, the lower is the fraction of positive price changes and the more dispersed the distribution of price changes. Second, we document substantial synchronization of price changes within firms across products and show that synchronization plays a dominant role in explaining pricing dynamics. Third, we find that within-firm synchronization of price changes increases as the number of goods increases. On the theoretical side, we present a state-dependent pricing model where multi-product firms face both aggregate and idiosyncratic shocks. When we allow for firm-specific menu costs and trend inflation, the model matches the empirical findings. JEL Classification: E30; E31; L11.

We study the effect of subjective mortality beliefs on life‐cycle behavior. With new survey evidence, we document that survival is underestimated (overestimated) by the young (old). We calibrate a canonical life‐cycle model to elicited beliefs. Relative to calibrations using actuarial probabilities, the young undersave by 26%, and retirees draw down their assets 27% slower, while the model's fit to consumption data improves by 88%. Cross‐sectional regressions support the model's predictions: Distorted mortality beliefs correlate with savings behavior while controlling for risk preferences, cognitive, and socioeconomic factors. Overweighting the likelihood of rare events contributes to mortality belief distortions.