We present an indicator of job loss derived from Twitter data, based on a fine-tuned neural network with transfer learning to classify if a tweet is job-loss related or not. We show that our Twitter-based measure of job loss is well-correlated with and predictive of other measures of...

Electricity is used by all businesses in the United States. During quickly moving economic shocks—for example, a pandemic or natural disaster—changes in electricity consumption can provide insight to policymakers before traditional survey-based metrics, which can lag weeks or months behind...

Industry concentration—the share of sales or output accounted for by the largest firms within an industry—has received widespread attention recently, in part because concentration has generally risen in recent decades (figure 1). Measurement challenges are at the core of concentration-based...

We document that the past three ?jobless? recoveries also featured asymmetries in labor force participation and labor compensation, with each falling to new lows during each cycle. We model these asymmetries as resulting from a strategic complementarity in firms' wage setting and workers' job...

I study a labor market in which identical workers search on- and off-the-job and heterogeneous firms employ using either posted wages or wage contracts contingent on outside options. Firm level costs for contingent contracts generate a separating equilibrium in which less productive firms post...