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, particularly in developing new methods to analyze firm behavior, productivity, and market power. He also explores machine learning for causal inference, investigating how to integrate machine learning tools into econometrics to identify causal effects in economic research. Prior to joining MIT Sloan, Demirer was a Postdoctoral Researcher at Microsoft Research. He holds a Master’s degree in economics from Koc University and a PhD in economics from MIT.

Mert Demirer is an economist specializing in Industrial Organization, Econometrics, and Machine Learning. His research explores the impact of AI and digital technologies on labor markets, with a focus on productivity, firm behavior, and policy implications. He investigates how machine learning can be applied to estimate treatment effects and analyze heterogeneous outcomes in randomized experiments. His work also addresses privacy regulations, financial connectedness, and the economic effects of generative AI. Demirer's research bridges theoretical econometrics with applied data science, offering insights into the evolving role of technology in economic systems.