The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art languageprocessing framework that we fit, test, and refine...

Wage rigidity is an important explanation for unemployment fluctuations. In benchmark models wages for new hires are key, but there is limited evidence on this margin. We use wages posted on vacancies, with job and establishment information, to measure the wage for new hires. We show that our...

How do firms set wages across space? Using job-level vacancy data and a survey of HR managers, we show that 40-50% of a job's posted wages are identical across locations within a firm. Moreover, nominal posted wages within the firm vary relatively little with local prices, a pattern we verify...

Although labor market "mismatch" often refers to an imbalances in supply and demand across occupations, mismatch within occupations can arise if skill requirements are changing over time, potentially reducing aggregate matching efficiency within the labor market. To test this, we examine changes...

Using data on the near-universe of online US job vacancies collected by Burning Glass Technologies in 2016, we calculate labor market concentration using the Herfindahl-Hirschman index (HHI) for each commuting zone by 6-digit SOC occupation. The average market has an HHI of 3,953, or the...

We propose a reweighting-estimation-transformation (RWET) approach to estimate the impacts of COVID-19 on job postings in Australia. Contrary to the commonly used aggregation-based method on counting data, our approach can be used in a relatively 'thin' market, such as Australia. In a thin...