Anand Shah
Hello! I'm a second-year PhD student at MIT Sloan interested in market design and EconCS theory. At MIT, I work with John Horton (MIT Sloan) and Parag Pathak (MIT Econ). Here is my CV.
I am primarily interested in the economics of AI, particularly in the optimal design of mechanisms and markets around AI proxies. I'm motivated by topics that I think are important for the public good, and my research draws on tools from mechanism design, IO and labor.
Beyond work on AI proxies, I also have ongoing projects on the regulation of arms races between AI labs, on the use of AI and data assets as complements or substitutes in firms, and on topics in school choice.
Before starting my PhD, I was at Chicago Booth as a Research Professional in Economics with Eric Budish and Jacob Leshno. I graduated from the University of Chicago in 2021 (B.S. Mathematics, B.A. Economics with Honors), where I was awarded the Economics Department's thesis award for my work on market design solutions to arms races in political fundraising (advised by Phil Reny).
If you're interested in discussing research ideas or just want to chat, please feel free to reach out.
Working Papers
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Learning from Synthetic Labs: Language Models as Auction ParticipantsNeurIPS Behavioral Machine Learning Workshop 2024. Currently second-round review for EC 2025.
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Remote Work and The Ruble CollapseR&R at the Journal of Labor Economics
Projects in the Pipeline
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Learning Optimal Auctions Play with Open Language Models
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AI and Data complements in Firm Advertising
Significant RA Contributions
- Trust at Scale: The Economic Limits of Cryptocurrencies and Blockchains. QJE 2025. Eric Budish.
- Dynamic Matching in Overloaded Waiting Lists. AER 2022. Jacob Leshno.
- SEC Comment Letter on Retail Auctions. Eric Budish.
- Price Discovery in Waiting Lists. Working Paper. Itai Ashlagi, Jacob Leshno, Pengyu Qian, Amin Saberi.
- Information Acquisition in Matching Markets. Working Paper. Nicole Immorlica, Jacob Leshno, Irene Lo, Brendan Lucier.
Service
- Referee for Management Science
- Mechanism Design for Social Good (Civic Participation Working Group)