Victor Chernozhukov 个人学术档案

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	总计	2019 年至今
引用	33894	22302
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i10 指数	130	126

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Christian B HansenProfessor of Econometrics and Statistics, University of Chicago, Booth School of Business在 chicagobooth.edu 的电子邮件经过验证
Alexandre BelloniDuke University在 duke.edu 的电子邮件经过验证
Ivan Fernandez-ValProfessor of Economics, Boston University在 bu.edu 的电子邮件经过验证
Whitney NeweyProfessor of Economics, MIT在 mit.edu 的电子邮件经过验证
Denis ChetverikovProfessor, Department of Economics, UCLA在 econ.ucla.edu 的电子邮件经过验证
Kengo KatoDepartment of Statistics and Data Science, Cornell University在 cornell.edu 的电子邮件经过验证
Han HongStanford University在 stanford.edu 的电子邮件经过验证
Mert DemirerDepartment of Economics, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Esther DufloEconomics, MIT在 mit.edu 的电子邮件经过验证
Alfred GalichonNew York University在 nyu.edu 的电子邮件经过验证
Martin SpindlerUniversity of Hamburg & Economic AI在 uni-hamburg.de 的电子邮件经过验证
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public health在 hsph.harvard.edu 的电子邮件经过验证
Blaise MellyProfessor of Economics, Bern University在 vwi.unibe.ch 的电子邮件经过验证
Yinchu ZhuAssistant Professor of Economics, Brandeis University在 brandeis.edu 的电子邮件经过验证
Daron AcemogluEconomics, MIT在 MIT.edu 的电子邮件经过验证
Vira SemenovaUniversity of California, Berkeley在 fas.harvard.edu 的电子邮件经过验证
Paul SchrimpfAssociate Professor of Economics, The University of British Columbia在 mail.ubc.ca 的电子邮件经过验证
Kaspar WüthrichUniversity of California, San Diego在 ucsd.edu 的电子邮件经过验证
Hiroyuki KasaharaUniversity of British Columbia在 mail.ubc.ca 的电子邮件经过验证
Vasilis SyrgkanisAssistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证

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Victor Chernozhukov

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

在 mit.edu 的电子邮件经过验证 - 首页

Econometrics Mathematical Statistics Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	2913*	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	1845	2011
Inference on counterfactual distributions V Chernozhukov, I Fernandez-Val, B Melly Econometrica, 2013 (ArXiv 2009) 81 (6), 2205–2268, 2009	1322*	2009
Optimal Targeted Lockdowns in a Multi-Group SIR Model D Acemoglu, V Chernozhukov, I Werning, MD Whinston American Economic Review: Insights, 2021	1255*	2021
An IV model of quantile treatment effects V Chernozhukov, C Hansen Econometrica, 245-261, 2005	1251	2005
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	1169	2010
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	1077	2014
An MCMC approach to classical estimation V Chernozhukov, H Hong Journal of econometrics 115 (2), 293-346, 2003	985	2003
Estimation and confidence regions for parameter sets in econometric models V Chernozhukov, H Hong, E Tamer Econometrica 75 (5), 1243–1284, 2007	857	2007
Least squares after model selection in high-dimensional sparse models A Belloni, V Chernozhukov Bernoulli 2013 (ArXiv 2009) 19 (2), 521-547, 2013	855	2013
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	738	2011
Instrumental quantile regression inference for structural and treatment effect models V Chernozhukov, C Hansen Journal of Econometrics 132 (2), 491-525, 2006	720	2006
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	711	2011
Instrumental variable quantile regression: A robust inference approach V Chernozhukov, C Hansen Journal of Econometrics 142 (1), 379-398, 2008	677*	2008
Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments V Chernozhukov, M Demirer, E Duflo, I Fernandez-Val Econometrica (to appear); arXiv preprint arXiv:1712.04802, 2024	637*	2024
Quantile and probability curves without crossing V Chernozhukov, I Fernandez-Val, A Galichon Econometrica, 1093-1125, 2010	624	2010
Double/debiased/neyman machine learning of treatment effects V Chernozhukov, D Chetverikov, M Demirer, E Duflo, C Hansen, ... American Economic Review 107 (5), 261-65, 2017	595	2017
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	575	2007
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	564	2013
Intersection bounds: estimation and inference V Chernozhukov, S Lee, AM Rosen Econometrica 81, 667-736, 2013	538	2013

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