Victor Chernozhukov

Citirano

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Na temelju uvjeta financiranja

Suautori

Christian B HansenProfessor of Econometrics and Statistics, University of Chicago, Booth School of BusinessPotvrđena adresa e-pošte na chicagobooth.edu
Alexandre BelloniDuke UniversityPotvrđena adresa e-pošte na duke.edu
Ivan Fernandez-ValProfessor of Economics, Boston UniversityPotvrđena adresa e-pošte na bu.edu
Whitney NeweyProfessor of Economics, MITPotvrđena adresa e-pošte na mit.edu
Denis ChetverikovProfessor, Department of Economics, UCLAPotvrđena adresa e-pošte na econ.ucla.edu
Kengo KatoDepartment of Statistics and Data Science, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Mert DemirerDepartment of Economics, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Han HongStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Esther DufloEconomics, MITPotvrđena adresa e-pošte na mit.edu
Alfred GalichonNew York UniversityPotvrđena adresa e-pošte na nyu.edu
Martin SpindlerUniversity of Hamburg & Economic AIPotvrđena adresa e-pošte na uni-hamburg.de
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public healthPotvrđena adresa e-pošte na hsph.harvard.edu
Blaise MellyProfessor of Economics, Bern UniversityPotvrđena adresa e-pošte na unibe.ch
Yinchu ZhuAssistant Professor of Economics, Brandeis UniversityPotvrđena adresa e-pošte na brandeis.edu
Daron AcemogluEconomics, MITPotvrđena adresa e-pošte na MIT.edu
Kaspar WüthrichUniversity of California, San DiegoPotvrđena adresa e-pošte na ucsd.edu
Vira SemenovaUniversity of California, BerkeleyPotvrđena adresa e-pošte na fas.harvard.edu
Paul SchrimpfAssociate Professor of Economics, The University of British ColumbiaPotvrđena adresa e-pošte na mail.ubc.ca
Vasilis SyrgkanisAssistant Professor, Stanford UniversityPotvrđena adresa e-pošte na stanford.edu
Hiroyuki KasaharaUniversity of British ColumbiaPotvrđena adresa e-pošte na mail.ubc.ca

Prati

Victor Chernozhukov

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

Potvrđena adresa e-pošte na mit.edu - Početna stranica

Econometrics Mathematical Statistics Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	3309*	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	1966	2011
Inference on counterfactual distributions V Chernozhukov, I Fernandez-Val, B Melly Econometrica, 2013 (ArXiv 2009) 81 (6), 2205–2268, 2009	1380*	2009
Optimal Targeted Lockdowns in a Multi-Group SIR Model D Acemoglu, V Chernozhukov, I Werning, MD Whinston American Economic Review: Insights, 2021	1299*	2021
An IV model of quantile treatment effects V Chernozhukov, C Hansen Econometrica, 245-261, 2005	1295	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	1243	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	1093	2014
An MCMC approach to classical estimation V Chernozhukov, H Hong Journal of econometrics 115 (2), 293-346, 2003	1005	2003
Least squares after model selection in high-dimensional sparse models A Belloni, V Chernozhukov Bernoulli 2013 (ArXiv 2009) 19 (2), 521-547, 2013	899	2013
Estimation and confidence regions for parameter sets in econometric models V Chernozhukov, H Hong, E Tamer Econometrica 75 (5), 1243–1284, 2007	870*	2007
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	768	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	755	2011
Instrumental quantile regression inference for structural and treatment effect models V Chernozhukov, C Hansen Journal of Econometrics 132 (2), 491-525, 2006	735	2006
Instrumental variable quantile regression: A robust inference approach V Chernozhukov, C Hansen Journal of Econometrics 142 (1), 379-398, 2008	717*	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	673*	2024
Quantile and probability curves without crossing V Chernozhukov, I Fernandez-Val, A Galichon Econometrica, 1093-1125, 2010	648	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	616	2017
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	606	2013
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	591	2007
Intersection bounds: estimation and inference V Chernozhukov, S Lee, AM Rosen Econometrica 81, 667-736, 2013	566	2013

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