Victor Chernozhukov
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Victor |
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Chernozhukov |
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Affiliations
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New Economic School (NES) (weight: 5%)
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Massachusetts Institute of Technology (MIT)
/ Economics Department (weight: 95%)
Research profile
author of:
- Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments (RePEc:aea:aecrev:v:105:y:2015:i:5:p:486-90)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Double/Debiased/Neyman Machine Learning of Treatment Effects (RePEc:aea:aecrev:v:107:y:2017:i:5:p:261-65)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey - Optimal Targeted Lockdowns in a Multigroup SIR Model (RePEc:aea:aerins:v:3:y:2021:i:4:p:487-502)
by Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston - The Impact of Big Data on Firm Performance: An Empirical Investigation (RePEc:aea:apandp:v:109:y:2019:p:33-37)
by Patrick Bajari & Victor Chernozhukov & Ali Hortaçsu & Junichi Suzuki - Mastering Panel Metrics: Causal Impact of Democracy on Growth (RePEc:aea:apandp:v:109:y:2019:p:77-82)
by Shuowen Chen & Victor Chernozhukov & Iván Fernández-Val - High-Dimensional Methods and Inference on Structural and Treatment Effects (RePEc:aea:jecper:v:28:y:2014:i:2:p:29-50)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Quantile Graphical Models : Prediction and Conditional Independence with Applications to Financial Risk Management (RePEc:ags:uwarer:269321)
by Belloni, Alexandre & Chen, Mingli & Chernozhukov, Victor - Quantile Models with Endogeneity (RePEc:anr:reveco:v:5:y:2013:p:57-81)
by V. Chernozhukov & C. Hansen - Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach (RePEc:anr:reveco:v:7:y:2015:p:649-688)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Quantile and Probability Curves Without Crossing (RePEc:arx:papers:0704.3649)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving Estimates of Monotone Functions by Rearrangement (RePEc:arx:papers:0704.3686)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Rearranging Edgeworth-Cornish-Fisher Expansions (RePEc:arx:papers:0708.1627)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving Point and Interval Estimates of Monotone Functions by Rearrangement (RePEc:arx:papers:0806.4730)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Inference on Counterfactual Distributions (RePEc:arx:papers:0904.0951)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Average and Quantile Effects in Nonseparable Panel Models (RePEc:arx:papers:0904.1990)
by Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey - L1-Penalized Quantile Regression in High-Dimensional Sparse Models (RePEc:arx:papers:0904.2931)
by Alexandre Belloni & Victor Chernozhukov - Posterior Inference in Curved Exponential Families under Increasing Dimensions (RePEc:arx:papers:0904.3132)
by Alexandre Belloni & Victor Chernozhukov - Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks (RePEc:arx:papers:0912.5013)
by Victor Chernozhukov & Ivan Fernandez-Val - Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain (RePEc:arx:papers:1010.4345)
by Alexandre Belloni & Daniel Chen & Victor Chernozhukov & Christian Hansen - LASSO Methods for Gaussian Instrumental Variables Models (RePEc:arx:papers:1012.1297)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Quantile Regression with Censoring and Endogeneity (RePEc:arx:papers:1104.4580)
by Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski - Conditional Quantile Processes based on Series or Many Regressors (RePEc:arx:papers:1105.6154)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Iv'an Fern'andez-Val - High Dimensional Sparse Econometric Models: An Introduction (RePEc:arx:papers:1106.5242)
by Alexandre Belloni & Victor Chernozhukov - Inference for High-Dimensional Sparse Econometric Models (RePEc:arx:papers:1201.0220)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Inference on Treatment Effects After Selection Amongst High-Dimensional Controls (RePEc:arx:papers:1201.0224)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Inference on Sets in Finance (RePEc:arx:papers:1211.4282)
by Victor Chernozhukov & Emre Kocatulum & Konrad Menzel - Some New Asymptotic Theory for Least Squares Series: Pointwise and Uniform Results (RePEc:arx:papers:1212.0442)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors (RePEc:arx:papers:1212.6906)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Quantile Models with Endogeneity (RePEc:arx:papers:1303.7050)
by Victor Chernozhukov & Christian Hansen - Uniform Post Selection Inference for LAD Regression and Other Z-estimation problems (RePEc:arx:papers:1304.0282)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Post-Selection Inference for Generalized Linear Models with Many Controls (RePEc:arx:papers:1304.3969)
by Alexandre Belloni & Victor Chernozhukov & Ying Wei - Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" (RePEc:arx:papers:1305.6099)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Program Evaluation and Causal Inference with High-Dimensional Data (RePEc:arx:papers:1311.2645)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fern'andez-Val & Christian Hansen - Nonparametric Identification in Panels using Quantiles (RePEc:arx:papers:1312.4094)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney Newey - Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models (RePEc:arx:papers:1312.7186)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Inference on causal and structural parameters using many moment inequalities (RePEc:arx:papers:1312.7614)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Inference in High Dimensional Panel Models with an Application to Gun Control (RePEc:arx:papers:1411.6507)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur - Monge-Kantorovich Depth, Quantiles, Ranks, and Signs (RePEc:arx:papers:1412.8434)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments (RePEc:arx:papers:1501.03185)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach (RePEc:arx:papers:1501.03430)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - A lava attack on the recovery of sums of dense and sparse signals (RePEc:arx:papers:1502.03155)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages (RePEc:arx:papers:1512.05635)
by Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo - High-Dimensional Metrics in R (RePEc:arx:papers:1603.01700)
by Victor Chernozhukov & Chris Hansen & Martin Spindler - Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk (RePEc:arx:papers:1607.00286)
by Alexandre Belloni & Mingli Chen & Victor Chernozhukov - Locally Robust Semiparametric Estimation (RePEc:arx:papers:1608.00033)
by Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins - Double/Debiased Machine Learning for Treatment and Causal Parameters (RePEc:arx:papers:1608.00060)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins - hdm: High-Dimensional Metrics (RePEc:arx:papers:1608.00354)
by Victor Chernozhukov & Chris Hansen & Martin Spindler - Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (RePEc:arx:papers:1608.05142)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly & Kaspar Wuthrich - Counterfactual: An R Package for Counterfactual Analysis (RePEc:arx:papers:1610.07894)
by Mingli Chen & Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly - quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression (RePEc:arx:papers:1610.08329)
by Michael Lipsitz & Alexandre Belloni & Victor Chernozhukov & Iv'an Fern'andez-Val - Extremal Quantile Regression: An Overview (RePEc:arx:papers:1612.06850)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Tetsuya Kaji - Nonseparable Multinomial Choice Models in Cross-Section and Panel Data (RePEc:arx:papers:1706.08418)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Whitney Newey - Identification of hedonic equilibrium and nonseparable simultaneous equations (RePEc:arx:papers:1709.09570)
by Victor Chernozhukov & Alfred Galichon & Marc Henry & Brendan Pass - Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models (RePEc:arx:papers:1711.02184)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Whitney Newey & Sami Stouli & Francis Vella - Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India (RePEc:arx:papers:1712.04802)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Iv'an Fern'andez-Val - Simultaneous Confidence Intervals for High-dimensional Linear Models with Many Endogenous Variables (RePEc:arx:papers:1712.08102)
by Alexandre Belloni & Christian Hansen & Whitney Newey - An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls (RePEc:arx:papers:1712.09089)
by Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu - Censored Quantile Instrumental Variable Estimation with Stata (RePEc:arx:papers:1801.05305)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Sukjin Han & Amanda Kowalski - De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers (RePEc:arx:papers:1802.08667)
by Victor Chernozhukov & Whitney Newey & Rahul Singh - Network and Panel Quantile Effects Via Distribution Regression (RePEc:arx:papers:1803.08154)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner - High-Dimensional Econometrics and Regularized GMM (RePEc:arx:papers:1806.01888)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato - Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models (RePEc:arx:papers:1806.04823)
by Denis Nekipelov & Vira Semenova & Vasilis Syrgkanis - LASSO-Driven Inference in Time and Space (RePEc:arx:papers:1806.05081)
by Victor Chernozhukov & Wolfgang K. Hardle & Chen Huang & Weining Wang - Subvector Inference in Partially Identified Models with Many Moment Inequalities (RePEc:arx:papers:1806.11466)
by Alexandre Belloni & Federico Bugni & Victor Chernozhukov - Uniform Inference in High-Dimensional Gaussian Graphical Models (RePEc:arx:papers:1808.10532)
by Sven Klaassen & Jannis Kuck & Martin Spindler & Victor Chernozhukov - Shape-Enforcing Operators for Point and Interval Estimators (RePEc:arx:papers:1809.01038)
by Xi Chen & Victor Chernozhukov & Iv'an Fern'andez-Val & Scott Kostyshak & Ye Luo - Valid Simultaneous Inference in High-Dimensional Settings (with the hdm package for R) (RePEc:arx:papers:1809.04951)
by Philipp Bach & Victor Chernozhukov & Martin Spindler - Automatic Debiased Machine Learning of Causal and Structural Effects (RePEc:arx:papers:1809.05224)
by Victor Chernozhukov & Whitney K Newey & Rahul Singh - Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK (RePEc:arx:papers:1811.11603)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Siyi Luo - Closing the U.S. gender wage gap requires understanding its heterogeneity (RePEc:arx:papers:1812.04345)
by Philipp Bach & Victor Chernozhukov & Martin Spindler - A $t$-test for synthetic controls (RePEc:arx:papers:1812.10820)
by Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu - Mastering Panel 'Metrics: Causal Impact of Democracy on Growth (RePEc:arx:papers:1901.03821)
by Shuowen Chen & Victor Chernozhukov & Iv'an Fern'andez-Val - Semi-Parametric Efficient Policy Learning with Continuous Actions (RePEc:arx:papers:1905.10116)
by Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov - Inference on weighted average value function in high-dimensional state space (RePEc:arx:papers:1908.09173)
by Victor Chernozhukov & Whitney Newey & Vira Semenova - SortedEffects: Sorted Causal Effects in R (RePEc:arx:papers:1909.00836)
by Shuowen Chen & Victor Chernozhukov & Iv'an Fern'andez-Val & Ye Luo - Fast Algorithms for the Quantile Regression Process (RePEc:arx:papers:1909.05782)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly - Distributional conformal prediction (RePEc:arx:papers:1909.07889)
by Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu - Improved Central Limit Theorem and bootstrap approximations in high dimensions (RePEc:arx:papers:1912.10529)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Yuta Koike - Minimax Semiparametric Learning With Approximate Sparsity (RePEc:arx:papers:1912.12213)
by Jelena Bradic & Victor Chernozhukov & Whitney K. Newey & Yinchu Zhu - Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S (RePEc:arx:papers:2005.14168)
by Victor Chernozhukov & Hiroyuki Kasaha & Paul Schrimpf - Instrumental Variable Quantile Regression (RePEc:arx:papers:2009.00436)
by Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich - Insights from Optimal Pandemic Shielding in a Multi-Group SEIR Framework (RePEc:arx:papers:2011.01092)
by Philipp Bach & Victor Chernozhukov & Martin Spindler - Adversarial Estimation of Riesz Representers (RePEc:arx:papers:2101.00009)
by Victor Chernozhukov & Whitney Newey & Rahul Singh & Vasilis Syrgkanis - The Association of Opening K-12 Schools with the Spread of COVID-19 in the United States: County-Level Panel Data Analysis (RePEc:arx:papers:2102.10453)
by Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf - Vector quantile regression and optimal transport, from theory to numerics (RePEc:arx:papers:2102.12809)
by Guillaume Carlier & Victor Chernozhukov & Gwendoline De Bie & Alfred Galichon - DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R (RePEc:arx:papers:2103.09603)
by Philipp Bach & Victor Chernozhukov & Malte S. Kurz & Martin Spindler & Sven Klaassen - DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python (RePEc:arx:papers:2104.03220)
by Philipp Bach & Victor Chernozhukov & Malte S. Kurz & Martin Spindler - Automatic Debiased Machine Learning via Riesz Regression (RePEc:arx:papers:2104.14737)
by Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis - Uniform Inference on High-dimensional Spatial Panel Networks (RePEc:arx:papers:2105.07424)
by Victor Chernozhukov & Chen Huang & Weining Wang - A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees (RePEc:arx:papers:2105.15197)
by Victor Chernozhukov & Whitney K. Newey & Rahul Singh - Inference for Low-Rank Models (RePEc:arx:papers:2107.02602)
by Victor Chernozhukov & Christian Hansen & Yuan Liao & Yinchu Zhu - RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests (RePEc:arx:papers:2110.03031)
by Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis - A Response to Philippe Lemoine's Critique on our Paper "Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S." (RePEc:arx:papers:2110.06136)
by Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf - Long Story Short: Omitted Variable Bias in Causal Machine Learning (RePEc:arx:papers:2112.13398)
by Victor Chernozhukov & Carlos Cinelli & Whitney Newey & Amit Sharma & Vasilis Syrgkanis - Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals (RePEc:arx:papers:2203.13887)
by Victor Chernozhukov & Whitney Newey & Rahul Singh & Vasilis Syrgkanis - High-dimensional Data Bootstrap (RePEc:arx:papers:2205.09691)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Yuta Koike - An MCMC Approach to Classical Estimation (RePEc:arx:papers:2301.07782)
by Victor Chernozhukov & Han Hong - Hedonic Prices and Quality Adjusted Price Indices Powered by AI (RePEc:arx:papers:2305.00044)
by Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Suhas Vijaykumar & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Shan Wan - Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models (RePEc:arx:papers:2402.00584)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Chen Huang & Weining Wang - DoubleMLDeep: Estimation of Causal Effects with Multimodal Data (RePEc:arx:papers:2402.01785)
by Sven Klaassen & Jan Teichert-Kluge & Philipp Bach & Victor Chernozhukov & Martin Spindler & Suhas Vijaykumar - Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study (RePEc:arx:papers:2402.04674)
by Philipp Bach & Oliver Schacht & Victor Chernozhukov & Sven Klaassen & Martin Spindler - Applied Causal Inference Powered by ML and AI (RePEc:arx:papers:2403.02467)
by Victor Chernozhukov & Christian Hansen & Nathan Kallus & Martin Spindler & Vasilis Syrgkanis - Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments (RePEc:arx:papers:2403.05850)
by Victor Chernozhukov & Iv'an Fern'andez-Val & Sukjin Han & Kaspar Wuthrich - Extremal quantile regression (RePEc:arx:papers:math/0505639)
by Victor Chernozhukov - Post-selection and post-regularization inference in linear models with many controls and instruments (RePEc:azt:cemmap:02/15)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Inference on sets in finance (RePEc:azt:cemmap:04/12)
by Victor Chernozhukov & Emre Kocatulum & Konrad Menzel - Monge-Kantorovich depth, quantiles, ranks and signs (RePEc:azt:cemmap:04/15)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Inference on counterfactual distributions (RePEc:azt:cemmap:05/12)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - A lava attack on the recovery of sums of dense and sparse signals (RePEc:azt:cemmap:05/15)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Hedonic prices and quality adjusted price indices powered by AI (RePEc:azt:cemmap:08/23)
by Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan - Inference on counterfactual distributions (RePEc:azt:cemmap:09/09)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Best linear approximations to set identified functions: with an application to the gender wage gap (RePEc:azt:cemmap:09/19)
by Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf - Distribution regression with sample selection and UK wage decomposition (RePEc:azt:cemmap:09/23)
by Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo - Arellano-bond lasso estimator for dynamic linear panel models (RePEc:azt:cemmap:09/24)
by Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang - Inference on treatment effects after selection amongst high-dimensional controls (RePEc:azt:cemmap:10/12)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Program evaluation and causal inference with high-dimensional data (RePEc:azt:cemmap:13/16)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Local identification of nonparametric and semiparametric models (RePEc:azt:cemmap:17/11)
by Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey - Inference on counterfactual distributions (RePEc:azt:cemmap:17/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Intersection Bounds: estimation and inference (RePEc:azt:cemmap:19/09)
by Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen - Confidence bands for coefficients in high dimensional linear models with error-in-variables (RePEc:azt:cemmap:22/17)
by Alexandre Belloni & Victor Chernozhukov & Abhishek Kaul - Generic inference on quantile and quantile effect functions for discrete outcomes (RePEc:azt:cemmap:23/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich - Uniform post selection inference for LAD regression models (RePEc:azt:cemmap:24/13)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Quantile models with endogeneity (RePEc:azt:cemmap:25/13)
by Victor Chernozhukov & Christian Hansen - Implementing intersection bounds in Stata (RePEc:azt:cemmap:25/14)
by Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen - Inference on treatment effects after selection amongst high-dimensional controls (RePEc:azt:cemmap:26/13)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Double/debiased machine learning for treatment and structural parameters (RePEc:azt:cemmap:28/17)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins - Quantreg.nonpar: an R package for performing nonparametric series quantile regression (RePEc:azt:cemmap:29/17)
by Michael Lipsitz & Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val - Locally robust semiparametric estimation (RePEc:azt:cemmap:31/16)
by Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey - Intersection bounds: estimation and inference (RePEc:azt:cemmap:33/12)
by Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen - Program evaluation with high-dimensional data (RePEc:azt:cemmap:33/14)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Nonseparable multinomial choice models in cross-section and panel data (RePEc:azt:cemmap:33/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey - Intersection bounds: estimation and inference (RePEc:azt:cemmap:34/11)
by Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen - Generic inference on quantile and quantile effect functions for discrete outcomes (RePEc:azt:cemmap:35/16)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich - Valid post-selection and post-regularization inference: An elementary, general approach (RePEc:azt:cemmap:36/16)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Local identification of nonparametric and semiparametric models (RePEc:azt:cemmap:37/12)
by Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey - hdm: High-Dimensional Metrics (RePEc:azt:cemmap:37/16)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Implementing intersection bounds in Stata (RePEc:azt:cemmap:38/13)
by Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen - Empirical and multiplier bootstraps for suprema of empirical processes of increasing complexity, and related Gaussian couplings (RePEc:azt:cemmap:38/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Central limit theorems and bootstrap in high dimensions (RePEc:azt:cemmap:39/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Comparison and anti-concentration bounds for maxima of Gaussian random vectors (RePEc:azt:cemmap:40/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Gaussian approximation of suprema of empirical processes (RePEc:azt:cemmap:41/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Estimation of treatment effects with high-dimensional controls (RePEc:azt:cemmap:42/11)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Testing many moment inequalities (RePEc:azt:cemmap:42/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Inference for best linear approximations to set identified functions (RePEc:azt:cemmap:43/12)
by Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf - Anti-concentration and honest, adaptive confidence bands (RePEc:azt:cemmap:43/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Gaussian approximation of suprema of empirical processes (RePEc:azt:cemmap:44/12)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Central limit theorems and multiplier bootstrap when p is much larger than n (RePEc:azt:cemmap:45/12)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Inference on sets in finance (RePEc:azt:cemmap:46/12)
by Victor Chernozhukov & Emre Kocatulum & Konrad Menzel - Conditional quantile processes based on series or many regressors (RePEc:azt:cemmap:46/16)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val - Vector quantile regression (RePEc:azt:cemmap:48/14)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - Semiparametric estimation of structural functions in nonseparable triangular models (RePEc:azt:cemmap:48/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella - Central limit theorems and bootstrap in high dimensions (RePEc:azt:cemmap:49/14)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Double machine learning for treatment and causal parameters (RePEc:azt:cemmap:49/16)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey - Inference in high dimensional panel models with an application to gun control (RePEc:azt:cemmap:50/14)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur - Uniform post selection inference for LAD regression and other Z-estimation problems (RePEc:azt:cemmap:51/14)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Testing many moment inequalities (RePEc:azt:cemmap:52/14)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Valid post-selection inference in high-dimensional approximately sparse quantile regression models (RePEc:azt:cemmap:53/14)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Nonparametric identification in panels using quantiles (RePEc:azt:cemmap:54/14)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey - Quantile graphical models: prediction and conditional independence with applications to systemic risk (RePEc:azt:cemmap:54/17)
by Alexandre Belloni & Mingli Chen & Victor Chernozhukov - Program evaluation with high-dimensional data (RePEc:azt:cemmap:55/15)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - A lava attack on the recovery of sums of dense and sparse signals (RePEc:azt:cemmap:56/15)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Program evaluation with high-dimensional data (RePEc:azt:cemmap:57/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Monge-Kantorovich depth, quantiles, ranks and signs (RePEc:azt:cemmap:57/15)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Vector quantile regression: an optimal transport approach (RePEc:azt:cemmap:58/15)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - High dimensional methods and inference on structural and treatment effects (RePEc:azt:cemmap:59/13)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Constrained conditional moment restriction models (RePEc:azt:cemmap:59/15)
by Victor Chernozhukov & Whitney K. Newey & Andres Santos - Generic machine learning inference on heterogenous treatment effects in randomized experiments (RePEc:azt:cemmap:61/17)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val - Pivotal estimation via square-root lasso in nonparametric regression (RePEc:azt:cemmap:62/13)
by Alexandre Belloni & Victor Chernozhukov & Lie Wang - An exact and robust conformal inference method for counterfactual and synthetic controls (RePEc:azt:cemmap:62/17)
by Victor Chernozhukov & Kaspar Wüthrich & Yu Zhu - Simultaneous confidence intervals for high-dimensional linear models with many endogenous variables (RePEc:azt:cemmap:63/17)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Whitney K. Newey - Counterfactual analysis in R: a vignette (RePEc:azt:cemmap:64/17)
by Mingli Chen & Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Testing Many Moment Inequalities (RePEc:azt:cemmap:65/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Extremal quantile regression: an overview (RePEc:azt:cemmap:65/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Tetsuya Kaji - Nonparametric identification in panels using quantiles (RePEc:azt:cemmap:66/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey - Honest confidence regions for a regression parameter in logistic regression with a large number of controls (RePEc:azt:cemmap:67/13)
by Alexandre Belloni & Victor Chernozhukov & Ying Wei - Posterior inference in curved exponential families under increasing dimensions (RePEc:azt:cemmap:68/13)
by Alexandre Belloni & Victor Chernozhukov - Anti-concentration and honest, adaptive confidence bands (RePEc:azt:cemmap:69/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Robust inference in high-dimensional approximately sparse quantile regression models (RePEc:azt:cemmap:70/13)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Comparison and anti-concentration bounds for maxima of Gaussian random vectors (RePEc:azt:cemmap:71/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - On the asymptotic theory for least squares series: pointwise and uniform results (RePEc:azt:cemmap:73/13)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Uniform post selection inference for LAD regression and other z-estimation problems (RePEc:azt:cemmap:74/13)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - The sorted effects method: discovering heterogeneous effects beyond their averages (RePEc:azt:cemmap:74/15)
by Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo - Gaussian approximation of suprema of empirical processes (RePEc:azt:cemmap:75/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors (RePEc:azt:cemmap:76/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Program evaluation with high-dimensional data (RePEc:azt:cemmap:77/13)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Three-Step Censored Quantile Regression and Extramarital Affairs (RePEc:bes:jnlasa:v:97:y:2002:m:september:p:872-882)
by Hong H. & Chernozhukov V. - CQIV: Stata module to perform censored quantile instrumental variables regression (RePEc:boc:bocode:s457478)
by Victor Chernozhukov & Ivan Fernandez-Val & Sukjin Han & Amanda Kowalski - CLRBOUND: Stata module to perform estimation and inference on intersection bounds (RePEc:boc:bocode:s457674)
by Victor Chernozhukov & Wooyoung Kim & Sokbae Lee & Adam M. Rosen - QRPROCESS: Stata module for quantile regression: fast algorithm, pointwise and uniform inference (RePEc:boc:bocode:s458763)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Quantile And Probability Curves Without Crossing (RePEc:bos:wpaper:wp2007-011)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving Estimates Of Monotone Functions By Rearrangement (RePEc:bos:wpaper:wp2007-012)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Inference On Counterfactual Distributions (RePEc:bos:wpaper:wp2008-005)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Quantile and Average Effects in Nonseparable Panel Models (RePEc:bos:wpaper:wp2009-011)
by V. Chernozhukov & Ivan Fernandez-Val - Censored Quantile Instrumental Variable Estimation via Control Functions (RePEc:bos:wpaper:wp2009-012)
by Victor Chernozhukov & Ivan Fernandez-Val & Amanda E. Kowalski - Identification and Estimation of Marginal Effects in Nonlinear Panel Models (RePEc:bos:wpaper:wp2009-b)
by Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey - Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models (RePEc:bri:uobdis:17/690)
by Victor Chernozhukov & Iván Fernández-Val & Whitney Newey & Sami Stouli & Francis Vella - Learning and Disagreement in an Uncertain World (RePEc:cca:wpaper:48)
by Daron Acemoglu & Victor Chernozhukov & Muhamet Yildiz - Distributional conformal prediction (RePEc:cdl:ucsdec:qt2zs6m5p5)
by Chernozhukov, Victor & Wüthrich, Kaspar & Zhu, Yinchu - Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (RePEc:cdl:ucsdec:qt5zm6m9rq)
by Chernozhukov, Victor & Fernández-Val, Iván & Melly, Blaise & Wüthrich, Kaspar - An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls (RePEc:cdl:ucsdec:qt90m9d66s)
by Chernozhukov, Victor & Wüthrich, Kaspar & Zhu, Yinchu - Toward personalized inference on individual treatment effects (RePEc:cdl:ucsdec:qt9126m3hw)
by Chernozhukov, Victor & Wüthrich, Kaspar & Zhu, Yinchu - The Association of Opening K-12 Schools and Colleges with the Spread of Covid-19 in the United States: County-Level Panel Data Analysis (RePEc:ces:ceswps:_8929)
by Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf - Nonparametric Instrumental Variable Estimators of Structural Quantile Effects (RePEc:chf:rpseri:rp0803)
by Victor Chernozhukov & Patrick Gagliardini & Olivier Scaillet - Fragility of Asymptotic Agreement under Bayesian Learning (RePEc:cla:levarc:814577000000000139)
by Daron Acemoglu & Victor Chernozhukov & Muhamet Yildiz - Pivotal Estimation Via Self-Normalization for High-Dimensional Linear Models with Errors in Variables (RePEc:crs:wpaper:2017-26)
by Alexandre Belloni & Victor Chernozhukov & Abhishek Kaul & Mathieu Rosenbaum & Alexandre B. Tsybakov - LASSO-Driven Inference in Time and Space (RePEc:cty:dpaper:18/04)
by Chernozhukov, V. & Härdle, W.K. & Huang, C. & Wang, W. - Admissible Invariant Similar Tests For Instrumental Variables Regression (RePEc:cup:etheor:v:25:y:2009:i:03:p:806-818_09)
by Chernozhukov, Victor & Hansen, Christian & Jansson, Michael - Local Identification of Nonparametric and Semiparametric Models (RePEc:cwl:cwldpp:1795)
by Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney Newey - Local Identification of Nonparametric and Semiparametric Models (RePEc:cwl:cwldpp:1795r)
by Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney Newey - Quantile Regression with Censoring and Endogeneity (RePEc:cwl:cwldpp:1797)
by Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski - Censored Quantile Instrumental Variable Estimation with Stata (RePEc:cwl:cwldpp:2120)
by Victor Chernozhukov & Iv'n Fern'ndez-Val & Sukjin Han & Amanda E. Kowalski - Monge-Kantorovich Depth, Quantiles, Ranks and Signs (RePEc:eca:wpaper:2013/190592)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Likelihood Estimation and Inference in a Class of Nonregular Econometric Models (RePEc:ecm:emetrp:v:72:y:2004:i:5:p:1445-1480)
by Victor Chernozhukov & Han Hong - An IV Model of Quantile Treatment Effects (RePEc:ecm:emetrp:v:73:y:2005:i:1:p:245-261)
by Victor Chernozhukov & Christian Hansen - Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure (RePEc:ecm:emetrp:v:74:y:2006:i:2:p:539-563)
by Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val - Estimation and Confidence Regions for Parameter Sets in Econometric Models (RePEc:ecm:emetrp:v:75:y:2007:i:5:p:1243-1284)
by Victor Chernozhukov & Han Hong & Elie Tamer - Quantile and Probability Curves Without Crossing (RePEc:ecm:emetrp:v:78:y:2010:i:3:p:1093-1125)
by Victor Chernozhukov & Iv·n Fern·ndez-Val & Alfred Galichon - Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain (RePEc:ecm:emetrp:v:80:y:2012:i:6:p:2369-2429)
by A. Belloni & D. Chen & V. Chernozhukov & C. Hansen - Average and Quantile Effects in Nonseparable Panel Models (RePEc:ecm:emetrp:v:81:y:2013:i:2:p:535-580)
by Victor Chernozhukov & Iván Fernández‐Val & Jinyong Hahn & Whitney Newey - Intersection Bounds: Estimation and Inference (RePEc:ecm:emetrp:v:81:y:2013:i:2:p:667-737)
by Victor Chernozhukov & Sokbae Lee & Adam M. Rosen - Inference on Counterfactual Distributions (RePEc:ecm:emetrp:v:81:y:2013:i:6:p:2205-2268)
by Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly - Quantile Regression under Misspecification (RePEc:ecm:nawm04:198)
by I. Fernandez-Val & J. Angrist & V. Chernozhukov - Parameter Set Inference in a Class of Econometric Models (RePEc:ecm:nawm04:382)
by E. Tamer & V. Chernozhukov & H. Hong - Finite-Sample Inference Methods for Quantile Regression Models (RePEc:ecm:nawm04:393)
by Christian Hansen & Victor Chernozhukov - Set identification and sensitivity analysis with Tobin regressors (RePEc:ecm:quante:v:1:y:2010:i:2:p:255-277)
by Victor Chernozhukov & Roberto Rigobon & Thomas M. Stoker - The reduced form: A simple approach to inference with weak instruments (RePEc:eee:ecolet:v:100:y:2008:i:1:p:68-71)
by Chernozhukov, Victor & Hansen, Christian - Inference approaches for instrumental variable quantile regression (RePEc:eee:ecolet:v:95:y:2007:i:2:p:272-277)
by Chernozhukov, Victor & Hansen, Christian & Jansson, Michael - An MCMC approach to classical estimation (RePEc:eee:econom:v:115:y:2003:i:2:p:293-346)
by Chernozhukov, Victor & Hong, Han - Instrumental quantile regression inference for structural and treatment effect models (RePEc:eee:econom:v:132:y:2006:i:2:p:491-525)
by Chernozhukov, Victor & Hansen, Christian - Instrumental variable estimation of nonseparable models (RePEc:eee:econom:v:139:y:2007:i:1:p:4-14)
by Chernozhukov, Victor & Imbens, Guido W. & Newey, Whitney K. - Instrumental variable quantile regression: A robust inference approach (RePEc:eee:econom:v:142:y:2008:i:1:p:379-398)
by Chernozhukov, Victor & Hansen, Christian - Finite sample inference for quantile regression models (RePEc:eee:econom:v:152:y:2009:i:2:p:93-103)
by Chernozhukov, Victor & Hansen, Christian & Jansson, Michael - Quantile regression with censoring and endogeneity (RePEc:eee:econom:v:186:y:2015:i:1:p:201-221)
by Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E. - Some new asymptotic theory for least squares series: Pointwise and uniform results (RePEc:eee:econom:v:186:y:2015:i:2:p:345-366)
by Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Kato, Kengo - Nonparametric identification in panels using quantiles (RePEc:eee:econom:v:188:y:2015:i:2:p:378-392)
by Chernozhukov, Victor & Fernández-Val, Iván & Hoderlein, Stefan & Holzmann, Hajo & Newey, Whitney - Nonseparable multinomial choice models in cross-section and panel data (RePEc:eee:econom:v:211:y:2019:i:1:p:104-116)
by Chernozhukov, Victor & Fernández-Val, Iván & Newey, Whitney K. - Conditional quantile processes based on series or many regressors (RePEc:eee:econom:v:213:y:2019:i:1:p:4-29)
by Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván - Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S (RePEc:eee:econom:v:220:y:2021:i:1:p:23-62)
by Chernozhukov, Victor & Kasahara, Hiroyuki & Schrimpf, Paul - Network and panel quantile effects via distribution regression (RePEc:eee:econom:v:240:y:2024:i:2:s0304407620303390)
by Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin - Vector quantile regression beyond the specified case (RePEc:eee:jmvana:v:161:y:2017:i:c:p:96-102)
by Carlier, Guillaume & Chernozhukov, Victor & Galichon, Alfred - Empirical and multiplier bootstraps for suprema of empirical processes of increasing complexity, and related Gaussian couplings (RePEc:eee:spapps:v:126:y:2016:i:12:p:3632-3651)
by Chernozhukov, Victor & Chetverikov, Denis & Kato, Kengo - Quantile and Probability Curves without Crossing (RePEc:hal:journl:hal-01052958)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Monge-Kantorovich Depth, Quantiles, Ranks, and Signs (RePEc:hal:journl:hal-03391975)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Vector Quantile Regression: An Optimal Transport Approach (RePEc:hal:journl:hal-03567920)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - Rearranging Edgeworth-Cornish-Fisher Expansions (RePEc:hal:journl:hal-03588300)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving point and interval estimators of monotone functions by rearrangement (RePEc:hal:journl:hal-03596970)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Identification of Hedonic Equilibrium and Nonseparable Simultaneous Equations (RePEc:hal:journl:hal-03893143)
by Victor Chernozhukov & Alfred Galichon & Marc Henry & Brendan Pass - Correction to: Vector Quantile Regression and Optimal Transport, from Theory to Numerics (RePEc:hal:journl:hal-03896159)
by Guillaume Carlier & Victor Chernozhukov & Gwendoline de Bie & Alfred Galichon - Quantile and Probability Curves without Crossing (RePEc:hal:spmain:hal-01052958)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Single Market Nonparametric Identification of Multi-Attribute Hedonic Equilibrium Models (RePEc:hal:spmain:hal-01169655)
by Victor Chernozhukov & Alfred Galichon & Marc Henry & Brendan Pass - Monge-Kantorovich Depth, Quantiles, Ranks, and Signs (RePEc:hal:spmain:hal-03391975)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Monge-Kantorovich Depth, Quantiles, Ranks, and Signs (RePEc:hal:spmain:hal-03460056)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Vector Quantile Regression: An Optimal Transport Approach (RePEc:hal:spmain:hal-03567920)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - Rearranging Edgeworth-Cornish-Fisher Expansions (RePEc:hal:spmain:hal-03588300)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving point and interval estimators of monotone functions by rearrangement (RePEc:hal:spmain:hal-03596970)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Identification of Hedonic Equilibrium and Nonseparable Simultaneous Equations (RePEc:hal:spmain:hal-03893143)
by Victor Chernozhukov & Alfred Galichon & Marc Henry & Brendan Pass - Correction to: Vector Quantile Regression and Optimal Transport, from Theory to Numerics (RePEc:hal:spmain:hal-03896159)
by Guillaume Carlier & Victor Chernozhukov & Gwendoline de Bie & Alfred Galichon - Vector Quantile Regression (RePEc:hal:wpaper:hal-01169653)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - Single Market Nonparametric Identification of Multi-Attribute Hedonic Equilibrium Models (RePEc:hal:wpaper:hal-01169655)
by Victor Chernozhukov & Alfred Galichon & Marc Henry & Brendan Pass - Monge-Kantorovich Depth, Quantiles, Ranks, and Signs (RePEc:hal:wpaper:hal-03460056)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Fischer-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India (RePEc:hal:wpaper:hal-04238425)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val - Post-selection and post-regularization inference in linear models with many controls and instruments (RePEc:ifs:cemmap:02/15)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Inference on sets in finance (RePEc:ifs:cemmap:04/12)
by Victor Chernozhukov & Emre Kocatulum & Konrad Menzel - Monge-Kantorovich depth, quantiles, ranks and signs (RePEc:ifs:cemmap:04/15)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Identification and estimation of marginal effects in nonlinear panel models (RePEc:ifs:cemmap:05/09)
by Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey - Inference on counterfactual distributions (RePEc:ifs:cemmap:05/12)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - A lava attack on the recovery of sums of dense and sparse signals (RePEc:ifs:cemmap:05/15)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Improving estimates of monotone functions by rearrangement (RePEc:ifs:cemmap:09/07)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Inference on counterfactual distributions (RePEc:ifs:cemmap:09/09)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Best linear approximations to set identified functions: with an application to the gender wage gap (RePEc:ifs:cemmap:09/19)
by Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf - Quantile and probability curves without crossing (RePEc:ifs:cemmap:10/07)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - L1-Penalized quantile regression in high-dimensional sparse models (RePEc:ifs:cemmap:10/09)
by Alexandre Belloni & Victor Chernozhukov - Inference on treatment effects after selection amongst high-dimensional controls (RePEc:ifs:cemmap:10/12)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - On the computational complexity of MCMC-based estimators in large samples (RePEc:ifs:cemmap:12/07)
by Alexandre Belloni & Victor Chernozhukov - Set identification with Tobin regressors (RePEc:ifs:cemmap:12/09)
by Victor Chernozhukov & Roberto Rigobon & Thomas M. Stoker - Post-l1-penalized estimators in high-dimensional linear regression models (RePEc:ifs:cemmap:13/10)
by Alexandre Belloni & Victor Chernozhukov - Program evaluation and causal inference with high-dimensional data (RePEc:ifs:cemmap:13/16)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - A Multi-Risk SIR Model with Optimally Targeted Lockdown (RePEc:ifs:cemmap:14/20)
by Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston - Double/de-biased machine learning using regularized Riesz representers (RePEc:ifs:cemmap:15/18)
by Victor Chernozhukov & Whitney K. Newey & James Robins - Exact and robust conformal inference methods for predictive machine learning with dependent data (RePEc:ifs:cemmap:16/18)
by Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu - Improving point and interval estimates of monotone functions by rearrangement (RePEc:ifs:cemmap:17/08)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Local identification of nonparametric and semiparametric models (RePEc:ifs:cemmap:17/11)
by Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey - Inference on counterfactual distributions (RePEc:ifs:cemmap:17/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Rearranging Edgeworth-Cornish-Fisher expansions (RePEc:ifs:cemmap:19/07)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Intersection Bounds: estimation and inference (RePEc:ifs:cemmap:19/09)
by Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen - Conditional quantile processes based on series or many regressors (RePEc:ifs:cemmap:19/11)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val - Quantile regression with censoring and endogeneity (RePEc:ifs:cemmap:20/11)
by Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski - LASSO-Driven Inference in Time and Space (RePEc:ifs:cemmap:20/19)
by Victor Chernozhukov & Wolfgang Härdle & Chen Huang & Weining Wang - Network and panel quantile effects via distribution regression (RePEc:ifs:cemmap:21/18)
by Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner - Confidence bands for coefficients in high dimensional linear models with error-in-variables (RePEc:ifs:cemmap:22/17)
by Alexandre Belloni & Victor Chernozhukov & Abhishek Kaul - Generic inference on quantile and quantile effect functions for discrete outcomes (RePEc:ifs:cemmap:23/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich - Uniform post selection inference for LAD regression models (RePEc:ifs:cemmap:24/13)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Causal impact of masks, policies, behavior on early COVID-19 pandemic in the U.S (RePEc:ifs:cemmap:24/20)
by Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf - Identification and estimation of marginal effects in nonlinear panel models (RePEc:ifs:cemmap:25/08)
by Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey - Quantile models with endogeneity (RePEc:ifs:cemmap:25/13)
by Victor Chernozhukov & Christian Hansen - Implementing intersection bounds in Stata (RePEc:ifs:cemmap:25/14)
by Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen - Inference on treatment effects after selection amongst high-dimensional controls (RePEc:ifs:cemmap:26/13)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Single market non-parametric identification of multi-attribute hedonic equilibrium models (RePEc:ifs:cemmap:27/19)
by Victor Chernozhukov & Alfred Galichon & Marc Henry & Brendan Pass - Network and Panel Quantile Effects Via Distribution Regression (RePEc:ifs:cemmap:27/20)
by Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner - Double/debiased machine learning for treatment and structural parameters (RePEc:ifs:cemmap:28/17)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins - Subvector inference in PI models with many moment inequalities (RePEc:ifs:cemmap:28/19)
by Alexandre Belloni & Federico A. Bugni & Victor Chernozhukov - Quantile and average effects in nonseparable panel models (RePEc:ifs:cemmap:29/09)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey - Quantreg.nonpar: an R package for performing nonparametric series quantile regression (RePEc:ifs:cemmap:29/17)
by Michael Lipsitz & Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val - Uniform inference in high-dimensional Gaussian graphical models (RePEc:ifs:cemmap:29/19)
by Sven Klaassen & Jannis Kück & Martin Spindler & Victor Chernozhukov - Locally robust semiparametric estimation (RePEc:ifs:cemmap:30/18)
by Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins - Valid simultaneous inference in high-dimensional settings (with the HDM package for R) (RePEc:ifs:cemmap:30/19)
by Philipp Bach & Victor Chernozhukov & Martin Spindler - Sparse models and methods for optimal instruments with an application to eminent domain (RePEc:ifs:cemmap:31/10)
by Alexandre Belloni & D. Chen & Victor Chernozhukov & Christian Hansen - Locally robust semiparametric estimation (RePEc:ifs:cemmap:31/16)
by Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey - Inference for heterogeneous effects using low-rank estimations (RePEc:ifs:cemmap:31/19)
by Victor Chernozhukov & Christian Hansen & Yuan Liao & Yinchu Zhu - Inference on average treatment effects in aggregate panel data settings (RePEc:ifs:cemmap:32/19)
by Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu - Intersection bounds: estimation and inference (RePEc:ifs:cemmap:33/12)
by Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:33/14)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Nonseparable multinomial choice models in cross-section and panel data (RePEc:ifs:cemmap:33/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey - Mastering Panel Metrics: Causal Impact of Democracy on Growth (RePEc:ifs:cemmap:33/19)
by Shuowen Chen & Victor Chernozhukov & Ivan Fernandez-Val - Intersection bounds: estimation and inference (RePEc:ifs:cemmap:34/11)
by Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen - Semi-Parametric Efficient Policy Learning with Continuous Actions (RePEc:ifs:cemmap:34/19)
by Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov - Generic inference on quantile and quantile effect functions for discrete outcomes (RePEc:ifs:cemmap:35/16)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich - High-dimensional econometrics and regularized GMM (RePEc:ifs:cemmap:35/18)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato - Valid post-selection and post-regularization inference: An elementary, general approach (RePEc:ifs:cemmap:36/16)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - LASSO-driven inference in time and space (RePEc:ifs:cemmap:36/18)
by Victor Chernozhukov & Wolfgang Härdle & Chen Huang & Weining Wang - Local identification of nonparametric and semiparametric models (RePEc:ifs:cemmap:37/12)
by Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey - hdm: High-Dimensional Metrics (RePEc:ifs:cemmap:37/16)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Implementing intersection bounds in Stata (RePEc:ifs:cemmap:38/13)
by Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen - Empirical and multiplier bootstraps for suprema of empirical processes of increasing complexity, and related Gaussian couplings (RePEc:ifs:cemmap:38/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Central limit theorems and bootstrap in high dimensions (RePEc:ifs:cemmap:39/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Inference for extremal conditional quantile models, with an application to market and birthweight risks (RePEc:ifs:cemmap:40/11)
by Victor Chernozhukov & Ivan Fernandez-Val - Comparison and anti-concentration bounds for maxima of Gaussian random vectors (RePEc:ifs:cemmap:40/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions (RePEc:ifs:cemmap:40/18)
by Victor Chernozhukov & Vira Semenova - Inference for high-dimensional sparse econometric models (RePEc:ifs:cemmap:41/11)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Gaussian approximation of suprema of empirical processes (RePEc:ifs:cemmap:41/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Plug-in regularized estimation of high dimensional parameters in nonlinear semiparametric models (RePEc:ifs:cemmap:41/18)
by Victor Chernozhukov & Denis Nekipelov & Vira Semenova & Vasilis Syrgkanis - Estimation of treatment effects with high-dimensional controls (RePEc:ifs:cemmap:42/11)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Testing many moment inequalities (RePEc:ifs:cemmap:42/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Inference for best linear approximations to set identified functions (RePEc:ifs:cemmap:43/12)
by Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf - Anti-concentration and honest, adaptive confidence bands (RePEc:ifs:cemmap:43/16)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Gaussian approximation of suprema of empirical processes (RePEc:ifs:cemmap:44/12)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Central limit theorems and multiplier bootstrap when p is much larger than n (RePEc:ifs:cemmap:45/12)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Inference on sets in finance (RePEc:ifs:cemmap:46/12)
by Victor Chernozhukov & Emre Kocatulum & Konrad Menzel - Conditional quantile processes based on series or many regressors (RePEc:ifs:cemmap:46/16)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val - Vector quantile regression (RePEc:ifs:cemmap:48/14)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - Semiparametric estimation of structural functions in nonseparable triangular models (RePEc:ifs:cemmap:48/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella - Central limit theorems and bootstrap in high dimensions (RePEc:ifs:cemmap:49/14)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Double machine learning for treatment and causal parameters (RePEc:ifs:cemmap:49/16)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey - Inference in high dimensional panel models with an application to gun control (RePEc:ifs:cemmap:50/14)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur - Uniform post selection inference for LAD regression and other Z-estimation problems (RePEc:ifs:cemmap:51/14)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Testing many moment inequalities (RePEc:ifs:cemmap:52/14)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Valid post-selection inference in high-dimensional approximately sparse quantile regression models (RePEc:ifs:cemmap:53/14)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Nonparametric identification in panels using quantiles (RePEc:ifs:cemmap:54/14)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey - Quantile graphical models: prediction and conditional independence with applications to systemic risk (RePEc:ifs:cemmap:54/17)
by Alexandre Belloni & Mingli Chen & Victor Chernozhukov - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:55/15)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - A lava attack on the recovery of sums of dense and sparse signals (RePEc:ifs:cemmap:56/15)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:57/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Monge-Kantorovich depth, quantiles, ranks and signs (RePEc:ifs:cemmap:57/15)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Vector quantile regression: an optimal transport approach (RePEc:ifs:cemmap:58/15)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - High dimensional methods and inference on structural and treatment effects (RePEc:ifs:cemmap:59/13)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Constrained conditional moment restriction models (RePEc:ifs:cemmap:59/15)
by Victor Chernozhukov & Whitney K. Newey & Andres Santos - Demand analysis with many prices (RePEc:ifs:cemmap:59/19)
by Victor Chernozhukov & Jerry Hausman & Whitney K. Newey - Inference on causal and structural parameters using many moment inequalities (RePEc:ifs:cemmap:60/18)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Generic machine learning inference on heterogenous treatment effects in randomized experiments (RePEc:ifs:cemmap:61/17)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val - Pivotal estimation via square-root lasso in nonparametric regression (RePEc:ifs:cemmap:62/13)
by Alexandre Belloni & Victor Chernozhukov & Lie Wang - An exact and robust conformal inference method for counterfactual and synthetic controls (RePEc:ifs:cemmap:62/17)
by Victor Chernozhukov & Kaspar Wüthrich & Yu Zhu - Simultaneous confidence intervals for high-dimensional linear models with many endogenous variables (RePEc:ifs:cemmap:63/17)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Whitney K. Newey - Counterfactual analysis in R: a vignette (RePEc:ifs:cemmap:64/17)
by Mingli Chen & Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Testing Many Moment Inequalities (RePEc:ifs:cemmap:65/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Extremal quantile regression: an overview (RePEc:ifs:cemmap:65/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Tetsuya Kaji - Nonparametric identification in panels using quantiles (RePEc:ifs:cemmap:66/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey - Honest confidence regions for a regression parameter in logistic regression with a large number of controls (RePEc:ifs:cemmap:67/13)
by Alexandre Belloni & Victor Chernozhukov & Ying Wei - Posterior inference in curved exponential families under increasing dimensions (RePEc:ifs:cemmap:68/13)
by Alexandre Belloni & Victor Chernozhukov - Distribution regression with sample selection, with an application to wage decompositions in the UK (RePEc:ifs:cemmap:68/18)
by Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo - Anti-concentration and honest, adaptive confidence bands (RePEc:ifs:cemmap:69/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Robust inference in high-dimensional approximately sparse quantile regression models (RePEc:ifs:cemmap:70/13)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Network and panel quantile effects via distribution regression (RePEc:ifs:cemmap:70/18)
by Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner - Comparison and anti-concentration bounds for maxima of Gaussian random vectors (RePEc:ifs:cemmap:71/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - On the asymptotic theory for least squares series: pointwise and uniform results (RePEc:ifs:cemmap:73/13)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Uniform post selection inference for LAD regression and other z-estimation problems (RePEc:ifs:cemmap:74/13)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - The sorted effects method: discovering heterogeneous effects beyond their averages (RePEc:ifs:cemmap:74/15)
by Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo - Gaussian approximation of suprema of empirical processes (RePEc:ifs:cemmap:75/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors (RePEc:ifs:cemmap:76/13)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:77/13)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis (RePEc:nas:journl:v:118:y:2021:p:e2103420118)
by Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf - Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure (RePEc:nbr:nberwo:10428)
by Joshua Angrist & Victor Chernozhukov & Ivan Fernandez-Val - Learning and Disagreement in an Uncertain World (RePEc:nbr:nberwo:12648)
by Daron Acemoglu & Victor Chernozhukov & Muhamet Yildiz - Quantile Regression with Censoring and Endogeneity (RePEc:nbr:nberwo:16997)
by Victor Chernozhukov & Iván Fernández-Val & Amanda E. Kowalski - Identification and Efficient Semiparametric Estimation of a Dynamic Discrete Game (RePEc:nbr:nberwo:21125)
by Patrick Bajari & Victor Chernozhukov & Han Hong & Denis Nekipelov - Double/Debiased Machine Learning for Treatment and Structural Parameters (RePEc:nbr:nberwo:23564)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins - Censored Quantile Instrumental Variable Estimation with Stata (RePEc:nbr:nberwo:24232)
by Victor Chernozhukov & Iván Fernández-Val & Sukjin Han & Amanda Kowalski - The Impact of Big Data on Firm Performance: An Empirical Investigation (RePEc:nbr:nberwo:24334)
by Patrick Bajari & Victor Chernozhukov & Ali Hortaçsu & Junichi Suzuki - Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India (RePEc:nbr:nberwo:24678)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val - Best Linear Approximations to Set Identified Functions: With an Application to the Gender Wage Gap (RePEc:nbr:nberwo:25593)
by Arun G. Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf - Demand Analysis with Many Prices (RePEc:nbr:nberwo:26424)
by Victor Chernozhukov & Jerry A. Hausman & Whitney K. Newey - Optimal Targeted Lockdowns in a Multi-Group SIR Model (RePEc:nbr:nberwo:27102)
by Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston - Long Story Short: Omitted Variable Bias in Causal Machine Learning (RePEc:nbr:nberwo:30302)
by Victor Chernozhukov & Carlos Cinelli & Whitney Newey & Amit Sharma & Vasilis Syrgkanis - Uniform post-selection inference for least absolute deviation regression and other Z-estimation problems (RePEc:oup:biomet:v:102:y:2015:i:1:p:77-94.)
by A. Belloni & V. Chernozhukov & K. Kato - A simple and general debiased machine learning theorem with finite-sample guarantees (RePEc:oup:biomet:v:110:y:2023:i:1:p:257-264.)
by V Chernozhukov & W K Newey & R Singh - Uniform inference in high-dimensional Gaussian graphical models (RePEc:oup:biomet:v:110:y:2023:i:1:p:51-68.)
by S Klaassen & J Kueck & M Spindler & V Chernozhukov - Improving point and interval estimators of monotone functions by rearrangement (RePEc:oup:biomet:v:96:y:2009:i:3:p:559-575)
by V. Chernozhukov & I. Fernández-Val & A. Galichon - Square-root lasso: pivotal recovery of sparse signals via conic programming (RePEc:oup:biomet:v:98:y:2011:i:4:p:791-806)
by A. Belloni & V. Chernozhukov & L. Wang - The Econometrics Journal (RePEc:oup:emjrnl)
from Royal Economic Society as editor - Debiased machine learning of conditional average treatment effects and other causal functions (RePEc:oup:emjrnl:v:24:y:2021:i:2:p:264-289.)
by Vira Semenova & Victor Chernozhukov - Debiased machine learning of global and local parameters using regularized Riesz representers
[Semiparametric instrumental variable estimation of treatment response models] (RePEc:oup:emjrnl:v:25:y:2022:i:3:p:576-601.)
by Victor Chernozhukov & Whitney K Newey & Rahul Singh - Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks (RePEc:oup:restud:v:78:y:2011:i:2:p:559-589)
by Victor Chernozhukov & Iván Fernández-Val - Inference on Treatment Effects after Selection among High-Dimensional Controls†(RePEc:oup:restud:v:81:y:2014:i:2:p:608-650)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Inference on Causal and Structural Parameters using Many Moment Inequalities (RePEc:oup:restud:v:86:y:2019:i:5:p:1867-1900.)
by Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Aureo de Paula - Monge-Kantorovich Depth, Quantiles, Ranks, and Signs (RePEc:spo:wpmain:info:hdl:2441/3qnaslliat80pbqa8t90240unj)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Vector Quantile Regression: An Optimal Transport Approach (RePEc:spo:wpmain:info:hdl:2441/4c5431jp6o888pdrcs0fuirl40)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - Single Market Nonparametric Identification of Multi-Attribute Hedonic Equilibrium Models (RePEc:spo:wpmain:info:hdl:2441/4kovgv3hs883bok2tvdkibejb6)
by Victor Chernozhukov & Alfred Galichon & Marc Henry & Brendan, Department Of Mathematics Pass - Quantile and Probability Curves without Crossing (RePEc:spo:wpmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Monge-Kantorovich Depth, Quantiles, Ranks, and Signs (RePEc:spo:wpmain:info:hdl:2441/64itsev5509q8aa5mrbhi0g0b6)
by Victor Chernozhukov & Alfred Galichon & Marc Hallin & Marc Henry - Vector Quantile Regression (RePEc:spo:wpmain:info:hdl:2441/6rign1j2jd9c69im80po26g4nt)
by Guillaume Carlier & Victor Chernozhukov & Alfred Galichon - Conditional value-at-risk: Aspects of modeling and estimation (RePEc:spr:empeco:v:26:y:2001:i:1:p:271-292)
by Len Umantsev & Victor Chernozhukov - Fast algorithms for the quantile regression process (RePEc:spr:empeco:v:62:y:2022:i:1:d:10.1007_s00181-020-01898-0)
by Victor Chernozhukov & Iván Fernández-Val & Blaise Melly - Vector quantile regression and optimal transport, from theory to numerics (RePEc:spr:empeco:v:62:y:2022:i:1:d:10.1007_s00181-020-01919-y)
by Guillaume Carlier & Victor Chernozhukov & Gwendoline De Bie & Alfred Galichon - Correction to: Vector quantile regression and optimal transport, from theory to numerics (RePEc:spr:empeco:v:62:y:2022:i:1:d:10.1007_s00181-020-01933-0)
by Guillaume Carlier & Victor Chernozhukov & Gwendoline Bie & Alfred Galichon - Introduction (RePEc:spr:joecth:v:42:y:2010:i:2:p:271-273)
by Victor Chernozhukov & Pierre-André Chiappori & Marc Henry - Rearranging Edgeworth–Cornish–Fisher expansions (RePEc:spr:joecth:v:42:y:2010:i:2:p:419-435)
by Victor Chernozhukov & Iván Fernández-Val & Alfred Galichon - Comment (RePEc:taf:jnlasa:v:110:y:2015:i:512:p:1449-1451)
by Alexandre Belloni & Victor Chernozhukov - Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models (RePEc:taf:jnlasa:v:114:y:2019:i:526:p:749-758)
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (RePEc:taf:jnlasa:v:115:y:2020:i:529:p:123-137)
by Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich - An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls (RePEc:taf:jnlasa:v:116:y:2021:i:536:p:1849-1864)
by Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu - Inference in High-Dimensional Panel Models With an Application to Gun Control (RePEc:taf:jnlbes:v:34:y:2016:i:4:p:590-605)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur - Post-Selection Inference for Generalized Linear Models With Many Controls (RePEc:taf:jnlbes:v:34:y:2016:i:4:p:606-619)
by Alexandre Belloni & Victor Chernozhukov & Ying Wei - Fragility of asymptotic agreement under Bayesian learning (RePEc:the:publsh:436)
by , & , & , - The Effects of 401(K) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis (RePEc:tpr:restat:v:86:y:2004:i:3:p:735-751)
by Victor Chernozhukov & Christian Hansen - Implementing intersection bounds in Stata (RePEc:tsj:stataj:v:15:y:2015:i:1:p:21-44)
by Victor Chernozhukov & Wooyoung Kim & Sokbae Lee & Adam M. Rosen - Censored quantile instrumental-variable estimation with Stata (RePEc:tsj:stataj:v:19:y:2019:i:4:p:768-781)
by Victor Chernozhukov & Ivan Fernández-Val & Sukjin Han & Amanda Kowalski - Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (RePEc:ube:dpvwib:dp1607)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar W thrich - Identification of Hedonic Equilibrium and Nonseparable Simultaneous Equations (RePEc:ucp:jpolec:doi:10.1086/712447)
by Victor Chernozhukov & Alfred Galichon & Marc Henry & Brendan Pass - Local Identification of Nonparametric and Semiparametric Models (RePEc:wly:emetrp:v:82:y:2014:i:2:p:785-809)
by Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney K. Newey - Program Evaluation and Causal Inference With High‐Dimensional Data (RePEc:wly:emetrp:v:85:y:2017:i::p:233-298)
by A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen - The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages (RePEc:wly:emetrp:v:86:y:2018:i:6:p:1911-1938)
by Victor Chernozhukov & Iván Fernández‐Val & Ye Luo - Automatic Debiased Machine Learning of Causal and Structural Effects (RePEc:wly:emetrp:v:90:y:2022:i:3:p:967-1027)
by Victor Chernozhukov & Whitney K. Newey & Rahul Singh - Locally Robust Semiparametric Estimation (RePEc:wly:emetrp:v:90:y:2022:i:4:p:1501-1535)
by Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins - Constrained Conditional Moment Restriction Models (RePEc:wly:emetrp:v:91:y:2023:i:2:p:709-736)
by Victor Chernozhukov & Whitney K. Newey & Andres Santos - Econometrics Journal (RePEc:wly:emjrnl)
from Royal Economic Society as editor - Posterior inference in curved exponential families under increasing dimensions (RePEc:wly:emjrnl:v:17:y:2014:i:2:p:s75-s100)
by Alexandre Belloni & Victor Chernozhukov - Double/debiased machine learning for treatment and structural parameters (RePEc:wly:emjrnl:v:21:y:2018:i:1:p:c1-c68)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins - Semiparametric estimation of structural functions in nonseparable triangular models (RePEc:wly:quante:v:11:y:2020:i:2:p:503-533)
by Victor Chernozhukov & Iván Fernández‐Val & Whitney Newey & Sami Stouli & Francis Vella - Inference on heterogeneous treatment effects in high‐dimensional dynamic panels under weak dependence (RePEc:wly:quante:v:14:y:2023:i:2:p:471-510)
by Vira Semenova & Matt Goldman & Victor Chernozhukov & Matt Taddy - Inference on sets in finance (RePEc:wly:quante:v:6:y:2015:i:2:p:309-358)
by Victor Chernozhukov & Emre Kocatulum & Konrad Menzel - Quantile Graphical Models: Prediction and Conditional Independence with Applications to Financial Risk Management (RePEc:wrk:warwec:1125)
by Belloni, Alexandre. & Chen, Mingli & Chernozhukov, Victor - Insights from optimal pandemic shielding in a multi-group SEIR framework (RePEc:zbw:hcherp:202023)
by Bach, Philipp & Chernozhukov, Victor & Spindler, Martin - LASSO-Driven Inference in Time and Space (RePEc:zbw:irtgdp:2018021)
by Chernozhukov, Victor & Härdle, Wolfgang Karl & Huang, Chen & Wang, Weining