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John J. Horton

John J. Horton

MIT Sloan Professor, Co-founder Expected Parrot, Economist & Researcher

Cambridge, MA
Joined September 2025

Summary

John Horton is a leading academic in labor economics, market design, and information systems, particularly focusing on online markets. His extensive publication record, highlighted by a high citation count (h-index 31, i10-index 42 on Google Scholar), demonstrates significant influence and expertise in his field. john-joseph-horton+2
He is at the forefront of researching the intersection of AI and social science, pioneering the use of large language models as both simulated economic agents and tools for social science methodology. His work explores the impact of AI on labor markets and how AI can enhance research practices. john-joseph-horton+3
Beyond academia, John Horton is an entrepreneur, co-founding Expected Parrot, a Y Combinator-backed startup. This venture leverages AI to simulate stakeholders and assist companies in making data-driven decisions related to pricing, product, marketing, and communications. expectedparrot+1
His career includes experience in both the public and private sectors, transitioning from a military background as a Tank Platoon Leader and Company Executive Officer in the US Army to an economist at oDesk and a visiting economist at Uber, before his extensive academic career at NYU Stern and MIT Sloan. john-joseph-horton+2

Work

Education

Projects

Writing

Automated Social Science: Language Models as Scientist and Subjects

January 1, 2024

Investigates the application of language models in social science, both as tools for scientific inquiry and as subjects of study, co-authored with Kehang Zhu and Benjamin Manning.

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Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?

January 1, 2023

Explores the use of large language models as simulated economic agents to gain insights into economic behavior and social science research. This paper is currently under review at the Review of Economics and Statistics.

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Price floors and employer preferences: Evidence from a minimum wage experiment

January 1, 2023

An experimental study examining the effects of minimum wage on employer behavior and preferences, conditionally accepted by the American Economic Review.

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Algorithmic writing assistance on jobseekers resumes increases hires

January 1, 2023

Research demonstrating how algorithmic writing assistance can positively impact job seekers' success rates, co-authored with Emma Wiles and Zanele Munyikwa, currently under review at Management Science.

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The tragedy of your upstairs neighbors

January 1, 2016

A study on the economic and social implications of short-term rental platforms like Airbnb, co-authored with Apostolos Filippas, under review at the Journal of Public Economics.

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The online laboratory: Conducting experiments in a real labor market

January 1, 2010

Pioneering work on using online platforms as laboratories for economic experiments, co-authored with D.G. Rand and R.J. Zeckhauser, published in Experimental Economics.

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