The COVID-19 pandemic has led to an explosion of research using private-sector datasets to measure business dynamics and employment in real-time. Yet questions remain about the representativeness of these datasets and how to distinguish business openings and closings from sample churn - i.e.,...

Beaudry and Portier (American Economoc Review, 2006) propose an identification scheme to study the effects of news shocks about future productivity in Vector Error Correction Models (VECM). This comment shows that their methodology does not have a unique solution, when applied to their VECMs...

The COVID-19 pandemic has led to an explosion of research using real-time establishment-level data. One key challenge when working with this data is how to take into account the effects of business openings and closings. In this paper, we address this challenge by matching small business...