Uncertainty is a ubiquitous concern emphasized by policymakers. We study how uncertainty affects decision-making by the Federal Open Market Committee (FOMC). We distinguish between the notion of Fed-managed uncertainty vis-a-vis uncertainty that emanates from within the economy and which the Fed...

We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers". Leaders focus on multi-function, high-level meetings, while managers focus on...

We use a unique corpus of job descriptions for C-suite positions to document skills requirements in top managerial occupations across a large sample of firms. A novel algorithm maps the text of each executive search into six separate skill clusters reflecting cognitive, interpersonal, and...

Firm-level stock returns differ enormously in reaction to COVID-19 news. We characterize these reactions using the Risk Factors discussions in pre-pandemic 10-K filings and two text-analytic approaches: expert-curated dictionaries and supervised machine learning (ML). Bad COVID-19 news lowers...

The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art language-processing framework that we fit, test, and refine...

In 1997 Chancellor Kohl proposed a major pension reform and pushed the law through Parliament explaining that the German PAYG system had become unsustainable. One limitation of the new law -- one that is crucial for our identification strategy -- is that it left the generous pension entitlements...

This paper provides new evidence on the effects of fiscal policy by studying, using household-level data, how households respond to shifts in government spending. Our identification strategy allows us to control for time-specific aggregate effects, such as the stance of monetary policy or the...

This paper uses novel, firm-level measures derived from communications metadata before and after a CEO transition in 102 firms to study if CEO turnover impacts employees' communication flows. We find that CEO turnover leads to an initial decrease in intra-firm communication, followed by a...

We design a field experiment to study how the allocation of authority between frontline procurement officers and their monitors affects performance both directly and through the response to incentives. In collaboration with the government of Punjab, Pakistan, we shift authority from monitors to...

We exploit a unique combination of administrative sources and survey data to study the match between firms and managers. The data includes manager characteristics, such as risk aversion and talent; firm characteristics, such as ownership; detailed measures of managerial practices relative to...