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Vira Semenova
Vira Semenova
University of California, Berkeley
fas.harvard.edu의 이메일 확인됨 - 홈페이지
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Inference on heterogeneous treatment effects in high‐dimensional dynamic panels under weak dependence
V Semenova, M Goldman, V Chernozhukov, M Taddy
Quantitative Economics 14 (2), 471-510, 2023
228*2023
Debiased machine learning of conditional average treatment effects and other causal functions
V Semenova, V Chernozhukov
Econometrics Journal, 2020
216*2020
Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models
D Nekipelov, V Semenova, V Syrgkanis
Econometrics Journal, 2021
39*2021
Generalized lee bounds
V Semenova
arXiv preprint arXiv:2008.12720, 2020
25*2020
Debiased machine learning of set-identified linear models
V Semenova
Journal of Econometrics 235 (2), 1725-1746, 2023
12*2023
Machine Learning for Dynamic Discrete Choice
V Semenova
arXiv preprint arXiv:1908.09173, 0
12*
Adaptive estimation of intersection bounds: a classification approach
V Semenova
arXiv preprint arXiv:2303.00982, 2023
42023
Essays in econometrics and machine learning
V Semenova
Massachusetts Institute of Technology, 2018
32018
Inference on weighted average value function in high-dimensional state space
V Chernozhukov, W Newey, V Semenova
arXiv preprint arXiv:1908.09173, 2019
22019
Supplement to ‘Inference on heterogeneous treatment effects in high-dimensional dynamic panels under weak dependence’
V Semenova, M Goldman, V Chernozhukov, M Taddy
Quantitative Economics Supplemental Material 14, 2023
12023
Causal Inference with Machine Learning
V Chernozhukov, MD Cinelli, E Duflo, I Fernandez-Val, C Hansen, ...
2022
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