This paper examines the impact of Generative AI (GAI) on communication through the lens of salience and signalling models. It explores how GAI affects both senders' ability to create salient messages and receivers' costs of absorbing them. The analysis reveals that while GAI can increase...

We show that intergenerational mobility changed rapidly by race and class in recent decades and use these trends to study the causal mechanisms underlying changes in economic mobility. For white children in the U.S. born between 1978 and 1992, earnings increased for children from high-income...

This paper develops a novel method to identify the causal contribution of managers to team performance. The method requires repeated random assignment of managers to multiple teams and controls for individuals' skills. A good manager is someone who consistently causes their team to produce more...

The 2004 Indian Ocean tsunami was an extremely destructive event in Aceh, Indonesia, killing over 160,000 people and destroying infrastructure, homes, and livelihoods over miles of coastline. In its immediate aftermath, affected populations faced a daunting array of challenges. At the population...

We investigate the use of a machine learning (ML) algorithm to identify fraudulent non-existent firms. Using a rich dataset of tax returns over several years in an Indian state, we train an ML-based model to predict fraudulent firms. We then use the model predictions to carry out field...

We provide the first evidence on transgender earnings in the US using administrative data on over 55,000 individuals who changed their gender marker with the Social Security Administration and had gender-congruent first name changes on tax records. We validate and describe this sample which...

We examine a statewide program that identifies police departments with large racial disparities in traffic stops and works with identified departments to reduce disparities. The intervention caused large (23.56%) and persistent (at least 12 months) reductions in the number of minorities involved...

Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We introduce Webmunk, an...

Studies of intermediated arbitrage argue that bank balance sheets are an important consideration, yet little evidence exists on banks' positioning in this context. Using confidential supervisory data (covering $25 trillion in daily notional exposures) we examine banks' positions in connection...

When labour market competition is imperfect, positive industry (and firm) productivity shocks can be passed through to workers in the form of higher wages. We document how the UK auto industry, following a period of decline, experienced a four-decade-long productivity boom. There was a...