We examine the link between labour market developments and new technologies such as artificial intelligence (AI) and software in 16 European countries over the period 2011- 2019. Using data for occupations at the 3-digit level in Europe, we find that on average employment shares have increased...

This paper examines the tradeoffs of monitoring for wasteful public spending. By penalizing unnecessary spending, monitoring improves the quality of public expenditure and incentivizes firms to invest in compliance technology. I study a large Medicare program that monitored for unnecessary...

This study examines the impact of access to confidential administrative data on the rate, direction, and policy relevance of economics research. To study this question, we exploit the progressive geographic expansion of the U.S. Census Bureau's Federal Statistical Research Data Centers (FSRDCs)....

As remote work opportunities expand, more people are seeking residence in foreign destinations. The resulting surge in foreign residents generates capital gains for property owners but negatively impacts renters and creates potentially important production, congestion, and amenities...

Valuing deaths caused by climate change in Benefit Cost Analysis (BCA) is complex and controversial, having caused disagreement and acrimony in past high-profile settings. Furthermore, it is of first order consequence to the value of the social cost of carbon (SCC). Despite this, the underlying...

Voluntary participation is a central feature of reforms being tested across US healthcare. Allowing choice can enhance effects if participants sort on unobserved treatment gains. However, selection may also bias program evaluation, misleading policymakers. We study this trade-off in the case of...

The COVID-19 pandemic saw an unprecedented expansion of federal emergency rental assistance (ERA). Using applications to ERA lotteries in four cities linked to survey and administrative data, we assess its impacts on housing stability, financial security, and mental health. We find that...

In recent decades, Chinese researchers have become preeminent contributors to the scientific enterprise, as reflected by the number of publications originating from Chinese research institutions. China's rise in science has the potential to push forward the global frontier, but mere production...

Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...

This paper examines whether publication data matched to the Survey of Doctorate Recipients can be used for research purposes. We use Gold Standard data created to validate the publication match quality and compare these measures to publications assigned by a machine-learning algorithm developed...