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Competitive Bank Liability Design

By Saki Bigio, Pierre-Olivier Weill, and Diego Zúñiga

AEA Papers and Proceedings, May 2026

We study how competitive banks design liabilities that function as money in an economy with asymmetric information. Assets differ in risk exposure, and sufficiently risky assets cannot circulate in decentralized trade. Banks commit to state-contingent pay...

Teacher Content Knowledge in Indian Secondary Schools and Its Relationship with Student Learning

By Sabrin Beg, Anne Fitzpatrick, Jason T. Kerwin, Adrienne Lucas, and Khandker Wahedur Rahman

AEA Papers and Proceedings, May 2026

We combine data on math and English teacher content knowledge with student test scores from secondary schools in India. We find that content knowledge is low, particularly for English. Education and experience are correlated with English content knowledge...

The Leaky College Pipeline: Evidence from Administrative Data in Uganda

By Isaac Ahimbisibwe, Adrien Dautheville, Lenka Fiala, Saint Kizito Omala, and Wayne Aaron Sandholtz

AEA Papers and Proceedings, May 2026

We use linked administrative data from Uganda to track student progression from primary school through university scholarship admission, documenting large leaks in the education pipeline at every stage. Many high-performing students from poorer districts ...

The Adoption of Industrial AI in America

By Kristina McElheran, Mu-Jeung Yang, Zachary Kroff, and Erik Brynjolfsson

AEA Papers and Proceedings, May 2026

Using a mandatory, purpose-designed Census Bureau survey of approximately 28,500 establishments, we provide new evidence on industrial AI adoption in US manufacturing. Despite widespread digitization, only 22.8 percent of plants report any AI use as of 20...

Generative AI: What Type of Technology?

By Martin Neil Baily, David M. Byrne, Aidan T. Kane, and Paul E. Soto

AEA Papers and Proceedings, May 2026

The economic effects of generative AI (genAI) will depend on the type of technology it ultimately represents. The impact on productivity growth of discrete innovations, such as the lightbulb, fades when the market saturates. General-purpose technologies (...

AI as an Innovation in the Method of Innovation: Implications for Productivity Growth

By Filippo Bontadini, Carol Corrado, Jonathan Haskel, and Cecilia Jona-Lasinio

AEA Papers and Proceedings, May 2026

This paper estimates AI’s impact on labor productivity growth, treating AI as both a general-purpose technology and an innovation in the method of innovation. Using a framework that separates upstream innovation from downstream (other) production sugges...

American Investment in Chinese Renminbi

By Bruno Cavani, Christopher Clayton, Amanda Dos Santos, Matteo Maggiori, and Jesse Schreger

AEA Papers and Proceedings, May 2026

This paper uses microdata on US mutual fund and ETF portfolios from SEC Form N-PORT to study American investment in Chinese Renminbi (RMB)–denominated bonds. We show that, even as total foreign holdings of Chinese bonds rebounded in 2024, US holdings of...