IDE Publications

Cristobal Cheyre, Cornell University

Li JiangGeorge, Washington University

Florian Schaub, University of Michigan

Cristiana Firullo, Cornell University

Yucheng Li, Carnegie Mellon University

Nancy Xing, Carnegie Mellon University

This a collaborative project will explore in a privacy-preserving, ethical way, how people use the internet and to better understand behaviors online.

This working paper asks organizations to rethink a consequential design challenge: How can the rise of agentic AI strengthen rather than diminish human judgment?

Leif Sigerson (Pinterest), Tom Cunningham (METR), Winston Chou (Netflix), Sana Pandey (MIT CSAIL), Jonathan Stray (UC Berkeley CHAI), Lo-Hua Yuan (Airbnb ), Eytan Bakshy (Meta), Timothy Chan (Statsig), Molly Davies (Pinterest), Maria Dimakopoulou (Uber), Simon Ejdemyr (Netflix), Kenneth Hung (Meta), Nathan Kallus (Netflix & Cornell University), Thu Le (Lyft), A. Demetri Pananos (Datadog), Lee Richardson (Google), Brennan Schaffner (Knight-Georgetown Institute), Rose Tan, Martin Tingley, Nadia Tomova (Booking.com), Panagiotis Toulis (University of Chicago Booth School of Business), Wenjing Zheng (Roblox), Zander Arnao (Knight-Georgetown Institute), Dean Eckles (MIT)

This paper collects and shares industry knowledge on how to make decisions from short-term experiments that are better aligned with long-term outcomes. Based on a daylong workshop with 26 experts from 15 online platforms and 4 universities, it formulates a series of propositions that reflect current industry knowledge.

Mert Demirer

Nadav Tadelis

Published in the Journal of Economic Perspectives, this paper describes the emerging business-to-business market for large language model (LLM) inference and document key empirical patterns in its supply, pricing, and dynamics, using data from OpenRouter.

This map details the correlation between evidence of economic well-being and a greater number of long ties — people whom you know but with whom you share no other mutual connections.

Christophe Combemale

This paper reviews SEC filings to gain a better understanding of actual AI adoption of S&P 500 firms over the period 2016 to 2025. The findings reveal where AI integration is most advanced and how it affects CAPEX and productivity.

This paper looks at the market for generative AI-generated books and how AI is reshaping a creative market through scale rather than quality.

Agnes Norris Keiller – London School of Economics

 Áureo de Paula – University College London, Institute for Fiscal Studies and CeMMAP

Economists have struggled for decades to estimate production functions accurately. This paper aims to define a new statistical method for measuring how firms turn inputs, such as labor, capital and materials, into output.