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.
My research interests are Industrial Organization and Econometrics.
Email: mdemirer at mit.edu
Working Papers
Do Mergers and Acquisitions Improve Efficiency: Evidence from Power Plants
with Omer Karaduman, 2023
Data, Privacy Laws and Firm Production: Evidence from GDPR
with Diego Jimenez Hernandez, Dean Li and Sida Peng, 2023
Production Function Estimation with Factor-Augmenting Technology: An Application to Markups, 2022
(R&R, Econometrica)
Drug Rebates and Formulary Design: Evidence from Statins on Medicare Part D
with Alex Olssen, 2022
(Conditionally Accepted, Journal of Political Economy: Microeconomics)
Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments (R Package)
with Victor Chernozhukov, Esther Duflo, Iván Fernández-Val, 2021
(Conditionally Accepted, Econometrica)
Production Function Estimation with Imperfect Proxies, 2019
Publications
Semi-Parametric Efficient Policy Learning with Continuous Actions
with Vasilis Srygkanis, Greg Lewis, Victor Chernozhukov
Advances in Neural Information Processing Systems, 32 (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 21.1 (2018): C1-C68
Double/Debiased/Neyman Machine Learning of Treatment Effects
with Victor Chernozhukov, Denis Chetverikov, Esther Duflo, Christian Hansen and Whitney Newey
American Economic Review Papers and Proceedings, 2017, vol. 107, issue 5, pp. 261-265.
Estimating Global Bank Network Connectedness
with Francis X. Diebold, Laura Liu and Kamil Yilmaz
Journal of Applied Econometrics 33, No. 1 (2018): 1-15.
Work in Progress
Dynamic Frictions and Cloud Computing: A Study of Misallocation and Business Dynamism
with James Brand and Rebekah Dix
Firm Productivity and Learning by Doing in Computing
with James Brand and Avner Kreps
Welfare Effects of Buyer and Seller Power
with Antonio Martner and Michael Rubens
Quantifying R&D Synergies in Pharmaceutical Markets
with Catherine Ishitani and Alex Olssen
Federated Learning and Privacy Protection
with Dirk Bergemann, Alessandro Bonatti and Vod Vilfort