We first establish that policymakers on the Bank of England’s Monetary Policy Committee choose lower interest rates with experience. We then reject increasing confidence in private information or learning about the structure of the macroeconomy as explanations for this shift. Instead, a model...

Using voting data from the Bank of England, we show that different individual assessments of the economy strongly influence votes after controlling for individual policy preferences. We estimate that internal members form more precise assessments than externals and are also more hawkish, though...

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 leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as “data” in a downstream econometric model. We establish theoretical arguments for...

We identify and study analytically three key channels that shape how inflation affects wealth inequality: (i) the traditional wealth (Fisher) channel through which inflation redistributes from lenders to borrowers; (ii) an income channel through which inflation reduces the real value of sticky...