We use a random forest model to classify firms’ financial constraints using only financial variables. Our methodology expands the range of classified firms compared to text-based measures while maintaining similar levels of informativeness. We construct two versions of our constraint measures, one using many firm characteristics and the other using a small set of more primitive characteristics. Using our measures, we find that institutional investors hold a lower percentage of shares in equity-focused constrained firms, while retail investors show a preference for them. Equity issuance and investment of constrained firms also increases during periods of high investor sentiment.

We examine how broad changes in work arrangements and lifestyles brought on by the COVID-19 pandemic have affected households’ location decisions. Using data on over 360,000 residential, interstate moves over the last 5 years, we find that more than 12% of moves were directly influenced by the pandemic. Among pandemic-influenced movers, over 15% of households cite that remote work influenced their move. Lifestyle-related (job-related) migration increased (decreased) significantly, particularly for the set of households who are likely to have access to remote work. We further find that these changes in migration patterns are positively related to post-pandemic economic growth.

We show large flows of workers into the real estate agent (REA) occupation during the early 2000s from virtually all parts of the skill, wage, and education spectrums. We find those entering REA in Metropolitan Statistical Areas (MSAs) with house price bubbles end up in occupations paying significantly less in the long-run as compared to similar REA entrants in non-bubble areas. Even in 2017, when house prices and employment return to their pre-crisis levels, REA entrants in Bubble MSAs are in occupations earning about 6% less. These results point to lasting effects of labor allocation decisions in response to distorted price signals.