DEPARTMENT OF ECONOMICS

"Tevlin is the most important person in U.S. economics that you have probably never heard of."

Laura Doval receives the inaugural Arrow Prize (with co-author Vasiliki Skreta) for the best theory paper published in Econometrica in the preceding four years and the 2024 TE Best Paper Prize for the best paper published in TE in the preceding two years.

Voices in Development: A Podcast from Yale's Economic Growth Center explores issues related to sustainable development and economic justice in low- and middle-income countries. With Francis Annan of UC Berkeley, Rausser College of Natural Resources and Rohini Pande of Yale Department of Economic

First deputy managing director of the International Monetary Fund, Gopinath is leading research on AI’s impact on labor and markets

Automatic or remote-control shutoff valves have been required on newly constructed pipelines located in or near populated and environmentally sensitive areas since 2022. They are intended to enable faster shutdowns of ruptured pipe segments. However, the requirement for “rupture mitigation valves” does not apply to pipelines installed prior to 2022. The report examines the regulatory requirements that apply and issues a series of recommendations for making sounder decisions about when and where to retroactively install these valves.

“Our study shows that since 1870, it has never been the case that immigrants as a group have been more incarcerated than the U.S.-born,” Jácome said.

Pei receives a five-year grant to use game theory to understand the circumstances under which economic agents (such as firms and politicians) have incentives to take socially desirable actions in long-term relationships.

Do non-traditional digital trace data and traditional survey data yield similar estimates of the impact of a cash transfer program? In a randomized controlled trial of Togo’s COVID-19 Novissi program, endline survey data indicate positive treatment effects on beneficiary food security, mental health, and self-perceived economic status. However, impact estimates based on mobile phone data – processed with machine learning to predict beneficiary welfare – do not yield similar results, even though related data and methods do accurately predict wealth and consumption in prior cross-sectional analysis in Togo. This limitation likely arises from the underlying difficulty of using mobile phone data to predict short-term changes in well-being within a rural population with fairly homogeneous baseline levels of poverty. The researchers discuss the implications of these results for using new digit