Victor Chernozhukov

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Alexandre BelloniDuke UniversityAdresse e-mail validée de duke.edu
Christian B HansenProfessor of Econometrics and Statistics, University of Chicago, Booth School of BusinessAdresse e-mail validée de chicagobooth.edu
Ivan Fernandez-ValProfessor of Economics, Boston UniversityAdresse e-mail validée de bu.edu
Whitney NeweyProfessor of Economics, MITAdresse e-mail validée de mit.edu
Denis ChetverikovProfessor, Department of Economics, UCLAAdresse e-mail validée de econ.ucla.edu
Kengo KatoDepartment of Statistics and Data Science, Cornell UniversityAdresse e-mail validée de cornell.edu
Han HongStanford UniversityAdresse e-mail validée de stanford.edu
Alfred GalichonNew York UniversityAdresse e-mail validée de nyu.edu
Mert DemirerDepartment of Economics, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Esther DufloEconomics, MITAdresse e-mail validée de mit.edu
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public healthAdresse e-mail validée de hsph.harvard.edu
Martin SpindlerUniversity of HamburgAdresse e-mail validée de uni-hamburg.de
Daron AcemogluEconomics, MITAdresse e-mail validée de MIT.edu
Blaise MellyProfessor of Economics, Bern UniversityAdresse e-mail validée de vwi.unibe.ch
Paul SchrimpfAssociate Professor of Economics, The University of British ColumbiaAdresse e-mail validée de mail.ubc.ca
Yinchu ZhuAssistant Professor of Economics, Brandeis UniversityAdresse e-mail validée de brandeis.edu
Hiroyuki KasaharaUniversity of British ColumbiaAdresse e-mail validée de mail.ubc.ca
Vira SemenovaUniversity of California, BerkeleyAdresse e-mail validée de fas.harvard.edu
Sokbae (Simon) LeeDepartment of Economics, Columbia UniversityAdresse e-mail validée de columbia.edu
Michael WhinstonProfessor of Economics and Sloan Fellows Professor of Management, MITAdresse e-mail validée de mit.edu

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Victor Chernozhukov

Professor, Department of Economics + Center for Statistics and Data Science, MIT

Adresse e-mail validée de mit.edu - Page d'accueil

Econometrics Mathematical Statistics Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Double/De-Biased Machine Learning for Treatment and Causal Parameters V Chernozhukov, D Chetverikov, M Demirer, E Duflo, C Hansen, ... Econometrics Journal; 2018; arXiv preprint arXiv:1608.00060, 2016	1589*	2016
Inference on treatment effects after selection amongst high-dimensional controls A Belloni, V Chernozhukov, C Hansen The Review of Economic Studies 2013; ArXiv 2011, 2011	1408	2011
Inference on counterfactual distributions V Chernozhukov, I Fernandez-Val, B Melly Econometrica, 2013 (ArXiv 2009) 81 (6), 2205–2268, 2009	1153*	2009
An IV model of quantile treatment effects V Chernozhukov, C Hansen Econometrica, 245-261, 2005	1132	2005
Optimal Targeted Lockdowns in a Multi-Group SIR Model D Acemoglu, V Chernozhukov, I Werning, MD Whinston American Economic Review: Insights, 2021	1027*	2021
Sparse models and methods for optimal instruments with an application to eminent domain A Belloni, D Chen, V Chernozhukov, C Hansen Econometrica 2012 (ArXiv 2010) 80 (6), 2369-2429, 2010	964	2010
An MCMC approach to classical estimation V Chernozhukov, H Hong Journal of econometrics 115 (2), 293-346, 2003	884	2003
Estimation and confidence regions for parameter sets in econometric models V Chernozhukov, H Hong, E Tamer Econometrica 75 (5), 1243–1284, 2007	796*	2007
High-Dimensional Methods and Inference on Structural and Treatment Effects A Belloni, V Chernozhukov, C Hansen The Journal of Economic Perspectives 28 (2), 29-50, 2014	726	2014
Least squares after model selection in high-dimensional sparse models A Belloni, V Chernozhukov Bernoulli 2013 (ArXiv 2009) 19 (2), 521-547, 2013	707	2013
Instrumental quantile regression inference for structural and treatment effect models V Chernozhukov, C Hansen Journal of Econometrics 132 (2), 491-525, 2006	655	2006
Square-root lasso: pivotal recovery of sparse signals via conic programming A Belloni, V Chernozhukov, L Wang Biometrika 2011 (ArXiv 2010) 98 (4), 791-806, 2011	641	2011
ℓ1-penalized quantile regression in high-dimensional sparse models A Belloni, V Chernozhukov The Annals of Statistics 2011 (Arxiv 2009) 39 (1), 82-130, 2011	586	2011
Instrumental variable quantile regression: A robust inference approach V Chernozhukov, C Hansen Journal of Econometrics 142 (1), 379-398, 2008	582*	2008
Quantile and probability curves without crossing V Chernozhukov, I Fernandez-Val, A Galichon Econometrica, 1093-1125, 2010	548	2010
Quantile regression under misspecification, with an application to the US wage structure J Angrist, V Chernozhukov, I Fernandez-Val Econometrica 72 (2), 539–563, 2007	525	2007
Intersection bounds: estimation and inference V Chernozhukov, S Lee, AM Rosen Econometrica 81, 667-736, 2013	485	2013
GAUSSIAN APPROXIMATIONS AND MULTIPLIER BOOTSTRAP FOR MAXIMA OF SUMS OF HIGH-DIMENSIONAL RANDOM VECTORS V Chernozhukov, D Chetverikov, K Kato Annals of Statistics, 2013 (ArXiv 2013) 41 (6), 2786-2819, 2013	478	2013
Program evaluation and causal inference with high-dimensional data A Belloni, V Chernozhukov, I Fernández-Val, C Hansen Econometrica (2017); arXiv preprint arXiv:1311.2645, 2013	414*	2013
Causal impact of masks, policies, behavior on early COVID-19 pandemic in the US V Chernozhukov, H Kasahara, P Schrimpf Journal of Econometrics, 2021; arXiv (May 2020) preprint arXiv:2005.14168, 2020	355	2020

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