John J. Horton

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John J. Horton

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John Horton is the Chrysler Associate Professor of Management and an Associate Professor of Information Technologies at the MIT Sloan School of Management.

Horton's research focuses on the intersection of labor economics, market design, and information systems. He is particularly interested in improving the efficiency and equity of matching markets.

After completing his PhD and prior to joining NYU Stern School of Business in 2013, he served for two years as the staff economist for oDesk, an online labor market.

Horton received a BS in mathematics from the United States Military Academy at West Point and a PhD in public policy from Harvard University.

Honors

Horton wins two honors

November 1, 2021

Publications

"Algorithmic Writing Assistance on Jobseekers’ Resumes Increases Hires."

Wiles, Emma, Zanele Munyikwa, and John J. Horton. Management Science. Forthcoming. NBER Preprint. Supplementary Materials.

"Consumer Demand w/ Social Influences: Evidence from an E-commerce Platform."

Caoui, El Hadi, Chiara Farronato, John J. Horton, and Robert Schultz. Management Science. Forthcoming. NBER Preprint.

"Information about vacancy congestion redirects job search."

Fradkin, Andrey, Monica Bhole, and John J. Horton. Management Science. Forthcoming. Postprint.

"Automated Social Science: Language Models as Scientist and Subjects."

Manning, Benjamin S., Kehang Zhu, and John J. Horton, Working Paper. April 2024. arXiv Preprint.

"How Many Americans Work Remotely? A Survey of Surveys and Their Measurement Issues."

Brynjolfsson, Erik, John J. Horton, Christos Makridis, Alexandre Mas,Adam Ozimek, Daniel Rock, and Hong-Yi TuYe, MIT Sloan Working Paper 6937-23. Cambridge, MA: MIT Sloan School of Management, May 2023. NBER Working Paper 31193.

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

Horton, John J., Working Paper. January 2023. arXiv Preprint.

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Looking for a job? The benefits and (many) problems of creating your resume with AI

According to a working paper by associate professor John J. Horton, IDE digital fellow Emma Wiles, and co-author, applicants who used AI tools to improve their resume writing were 8% more likely to be hired and also received 8.4% higher salaries than those who didn't use automated help. "Using algorithmic assistance can help applicants express their skills more effectively and reduce bias or premature judgments based on writing errors," the authors noted.

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AI speeds up job posting but makes it less effective, study reveals

A recent paper by associate professor John Horton and Emma Wiles (PhD '24) found that AI-generated postings tended to be imprecise. Instead of detailing, for example, that they were looking for a programmer with four or more years of experience and knowledge of Python and Julia, the AI often suggested something more vague, such as an ad for "a proactive professional with experience in software engineering."

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