Using weekly administrative payroll data from the largest U.S. payroll processing company, we measure the evolution of the U.S. labor market during the first four months of the global COVID-19 pandemic. After aggregate employment fell by 21 percent through late-April, employment rebounded...

Many traditional official statistics are not suitable for measuring high-frequency developments that evolve over the course of weeks, not months. In this paper, we track the labor market effects of the COVID-19 pandemic with weekly payroll employment series based on microdata from ADP. These...

Using weekly administrative payroll data from the largest U.S. payroll processing company, we measure the evolution of the U.S. labor market during the first four months of the global COVID-19 pandemic. After aggregate employment fell by 21 percent through late-April, employment rebounded...

Lags in official data releases have forced economists and policymakers to leverage "alternative" or "non-traditional" data to measure business exit resulting from the COVID- 19 pandemic. We first review official data on business exit in recent decades to place the alternative measures of exit...

We show that high-frequency private payroll microdata can help forecast labor market conditions. Payroll employment is perhaps the most reliable real-time indicator of the business cycle and is therefore closely followed by policymakers, academia, and financial markets. Government statistical...