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I am an Assistant Professor at the MIT Sloan Applied Economics Group and a Faculty Research Fellow at the National Bureau of Economic Research. Prior to joining MIT Sloan, I was a Postdoctoral Researcher at Microsoft Research. I received my PhD in economics from MIT in 2020.

I work in the field of empirical industrial organization. My research focuses on firm productivity, use of digital technologies by firms, antitrust, and productivity effects of generative AI.

Email: mdemirer at mit.edu

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Working Papers

Working Papers

Publications

Published and Accepted Papers

Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments

  with Victor Chernozhukov, Esther Duflo, Iván Fernández-Val2024

Econometrica, Accepted

Drug Rebates and Formulary Design: Evidence from Statins on Medicare Part D

  with Alex Olssen, 2023

Journal of Political Economy: Microeconomics, Conditionally Accepted

 

Semi-Parametric Efficient Policy Learning with Continuous Actions

  with Vasilis Srygkanis, Greg Lewis, Victor Chernozhukov

NeurIPS, 2019

Double/Debiased Machine Learning for Treatment and Structural Parameters

  with Victor Chernozhukov, Denis Chetverikov, Esther Duflo, Christian Hansen, Whitney Newey, and James Robins

The Econometrics Journal, February 2018 

 

Estimating Global Bank Network Connectedness

  with Francis X. Diebold, Laura Liu and Kamil Yilmaz

Journal of Applied Econometrics, July 2017

Double/Debiased/Neyman Machine Learning of Treatment Effects

  with Victor Chernozhukov, Denis Chetverikov, Esther Duflo, Christian Hansen and Whitney Newey

American Economic Review P&P, May 2017

Work in Progress

How On-Demand Inputs Change Firm Production and Business Dynamism: The Case of Cloud Computing

  with James Brand and Rebekah Dix

Welfare Effects of Buyer and Seller Power

  with Antonio Martner and Michael Rubens  

Federated Learning and Privacy Protection 

  with Dirk Bergemann, Alessandro Bonatti and Vod Vilfort

Github
CV
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