| Double/debiased machine learning for treatment and structural parameters V Chernozhukov, D Chetverikov, M Demirer, E Duflo, C Hansen, ... The econometrics journal 21 (1), C1-C68, 2018 | 3507 | 2018 |
| Generic machine learning inference on heterogeneous treatment effects in randomized experiments, with an application to immunization in India V Chernozhukov, M Demirer, E Duflo, I Fernandez-Val National Bureau of Economic Research, 2018 | 708 | 2018 |
| Estimating global bank network connectedness M Demirer, FX Diebold, L Liu, K Yilmaz Journal of Applied Econometrics 33 (1), 1-15, 2018 | 699 | 2018 |
| Double/debiased/neyman machine learning of treatment effects V Chernozhukov, D Chetverikov, M Demirer, E Duflo, C Hansen, ... American Economic Review 107 (5), 261-265, 2017 | 638 | 2017 |
| The impact of ai on developer productivity: Evidence from github copilot S Peng, E Kalliamvakou, P Cihon, M Demirer arXiv preprint arXiv:2302.06590, 2023 | 423 | 2023 |
| Production function estimation with factor-augmenting technology: An application to markups M Demirer Job Market Paper 2, 15, 2020 | 100 | 2020 |
| Double/debiased machine learning for treatment and causal parameters V Chernozhukov, D Chetverikov, M Demirer, E Duflo, C Hansen, ... arXiv preprint arXiv:1608.00060, 2016 | 66 | 2016 |
| Semi-parametric efficient policy learning with continuous actions V Chernozhukov, M Demirer, G Lewis, V Syrgkanis Advances in Neural Information Processing Systems 32, 2019 | 58* | 2019 |
| The effects of generative ai on high skilled work: Evidence from three field experiments with software developers ZK Cui, M Demirer, S Jaffe, L Musolff, S Peng, T Salz Available at SSRN 4945566, 2024 | 33* | 2024 |
| Data, privacy laws and firm production: Evidence from the GDPR M Demirer, DJJ Hernández, D Li, S Peng National Bureau of Economic Research, 2024 | 28 | 2024 |
| Do Mergers and Acquisitions Improve Efficiency? Evidence from Power Plants M Demirer, Ö Karaduman National Bureau of Economic Research, 2024 | 24 | 2024 |
| Financial sector volatility connectedness and equity returns M Demirer, U Gokcen, K Yilmaz Available at SSRN 3099738, 2019 | 22 | 2019 |
| Drug rebates and formulary design: Evidence from statins in Medicare Part D AL Olssen, M Demirer Massachusetts Institute of Technology Working Paper, 2019 | 11 | 2019 |
| GenericML: Generic machine learning inference M Welz, A Alfons, M Demirer, V Chernozhukov | 9 | 2022 |
| The intended and unintended consequences of privacy regulation for consumer marketing: A marketing science institute report JP Dubé, D Bergemann, M Demirer, A Goldfarb, G Johnson, A Lambrecht, ... Available at SSRN 4847653, 2024 | 8 | 2024 |
| Production function estimation with imperfect proxies M Demirer Working Paper. MIT, 2019 | 2 | 2019 |
| Partial Identification of Linear Models Using Homophily in Network Data M Demirer Working paper, 2019 | 1 | 2019 |
| Comment on" Sequential validation of treatment heterogeneity" and" Comment on generic machine learning inference on heterogenous treatment effects in randomized experiments … V Chernozhukov, M Demirer, E Duflo, I Fernández-Val arXiv preprint arXiv:2502.01548, 2025 | | 2025 |
| Welfare Effects of Buyer and Seller Power M Demirer, M Rubens National Bureau of Economic Research, 2025 | | 2025 |
| Firm Productivity and Learning in the Digital Economy: Evidence from Cloud Computing JM Brand, M Demirer, C Finucane, AA Kreps National Bureau of Economic Research, 2024 | | 2024 |
Victor ChernozhukovProfessor, Department of Economics + Center for Statistics and Data Science, MIT;Zweryfikowany adres z mit.edu
