Whitney Newey
Massachusetts Institute of Technology
H-index: 75
North America-United States
Top articles of Whitney Newey
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A simple and general debiased machine learning theorem with finite-sample guarantees | Biometrika (arXiv preprint arXiv:2105.15197) | Victor Chernozhukov Whitney K Newey Rahul Singh | 2021/5/31 |
The Econometrics of Nonlinear Budget Sets | Sören Blomquist Jerry A Hausman Whitney K Newey | 2023/9/13 | |
Constrained conditional moment restriction models | Econometrica 2023; arXiv preprint arXiv:1509.06311 | Victor Chernozhukov Whitney K Newey Andres Santos | 2023 |
Source condition double robust inference on functionals of inverse problems | arXiv preprint arXiv:2307.13793 | Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis | 2023/7/25 |
Minimax Instrumental Variable Regression and Convergence Guarantees without Identification or Closedness | Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis | 2023/7/12 | |
Automatic Debiased Machine Learning for Covariate Shifts | arXiv preprint arXiv:2307.04527 | Michael Newey Whitney K Newey | 2023/7/10 |
Nonlinear Budget Set Regressions for the Random Utility Model | Sören Blomquist Anil Kumar Che-Yuan Liang Whitney Newey | 2023/5/1 | |
Nonparametric identification in panels using quantiles | Policy analysis | Whitney K Newey Stefan Hoderlein Victor Chernozhukov Ivan Fernandez-Val Hajo Holzmann | 2023/11/23 |
Supplement to ‘The influence function of semiparametric estimators’ | Quantitative Economics Supplemental Material | Hidehiko Ichimura Whitney K Newey | 2022 |
Locally robust semiparametric estimation | Econometrica 2022; arXiv preprint arXiv:1608.00033 | Victor Chernozhukov Juan Carlos Escanciano Hidehiko Ichimura Whitney K Newey James M Robins | 2022 |
Causal Inference with Machine Learning | V Chernozhukov M Demirer Cinelli E Duflo I Fernandez-Val C Hansen | 2022/8/25 | |
The influence function of semiparametric estimators | Quantitative Economics | Hidehiko Ichimura Whitney K Newey | 2022/1 |
Riesznet and forestriesz: Automatic debiased machine learning with neural nets and random forests | Victor Chernozhukov Whitney Newey Vı́ctor M Quintas-Martı́nez Vasilis Syrgkanis | 2022/6/28 | |
Inference on strongly identified functionals of weakly identified functions | arXiv preprint arXiv:2208.08291 | Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis | 2022/8/17 |
High-dimensional linear models with many endogenous variables | Journal of Econometrics | Alexandre Belloni Christian Hansen Whitney Newey | 2022/5/1 |
Long story short: Omitted variable bias in causal machine learning | Victor Chernozhukov Carlos Cinelli Whitney Newey Amit Sharma Vasilis Syrgkanis | 2022/8/1 | |
Supplemental Appendix | Victor Chernozhukov Whitney K Newey Andres Santos | 2022/9 | |
Automatic debiased machine learning of causal and structural effects | Econometrica 2022; arXiv preprint arXiv:1809.05224 | Victor Chernozhukov Whitney K Newey Rahul Singh | 2022 |
Efficient Bias Correction for Cross-section and Panel Data | arXiv preprint arXiv:2207.09943 | Jinyong Hahn David W Hughes Guido Kuersteiner Whitney K Newey | 2022/7/20 |
Debiased machine learning of global and local parameters using regularized Riesz representers | The Econometrics Journal (ArXiv 2018) | Victor Chernozhukov Whitney K Newey Rahul Singh | 2022 |
