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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.

My research interests are Industrial Organization and Econometrics. 

Email: mdemirer at

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Working Papers

Working Papers



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

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