Mert Demirer

Mert Demirer is the Ford Foundation International Career Development Assistant Professor and an Assistant Professor of Applied Economics at the MIT Sloan School of Management. His research focuses on industrial organization, developing novel methods to analyze firm behavior, productivity, and market power, while pioneering machine learning applications for causal inference in econometrics.

Demirer's academic background includes:

• PhD in Economics from the Massachusetts Institute of Technology
• Master’s degree in Economics from Koc University

His primary research centers on industrial organization, where he develops advanced econometric techniques to measure firm dynamics and market structures. Concurrently, he leads cutting-edge work in machine learning for causal inference, creating frameworks that integrate AI tools into econometric analysis to identify causal relationships in complex economic systems.

Demirer's publication record reveals a strong methodological focus at the intersection of econometrics and machine learning. Key contributions include double/debiased machine learning for treatment effects, policy optimization with continuous actions, and network analysis of financial systems. His work consistently bridges theoretical innovation with practical applications, particularly in measuring AI's economic impact and systemic financial risks.

Professional recognition includes:

• Ford Foundation International Career Development Assistant Professorship