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Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of BusinessVerifisert e-postadresse på stanford.edu
Josh AngristMITVerifisert e-postadresse på mit.edu
Alberto AbadieProfessor of Economics, MITVerifisert e-postadresse på mit.edu
Donald B RubinYCMS Tsinghua; Senior Research Fellow at Fox / Temple U, Emeritus at Harvard UVerifisert e-postadresse på temple.edu
Jeffrey M. WooldridgeUniversity Distinguished Professor of Economics, Michigan State UniversityVerifisert e-postadresse på msu.edu
V. Joseph HotzDuke UniversityVerifisert e-postadresse på econ.duke.edu
Keisuke HiranoProfessor of Economics, Pennsylvania State UniversityVerifisert e-postadresse på psu.edu
Stefan WagerGraduate School of Business, Stanford UniversityVerifisert e-postadresse på stanford.edu
Whitney NeweyProfessor of Economics, MITVerifisert e-postadresse på mit.edu
Thomas LemieuxProfessor of Economics, University of British ColumbiaVerifisert e-postadresse på ubc.ca
Richard K. CrumpFederal Reserve Bank of New YorkVerifisert e-postadresse på ny.frb.org
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerifisert e-postadresse på stat.columbia.edu
David M. DrukkerSam Houston State UniversityVerifisert e-postadresse på shsu.edu
Michal KolesárPrinceton UniversityVerifisert e-postadresse på princeton.edu
Bruce SacerdoteDartmouth CollegeVerifisert e-postadresse på dartmouth.edu
Bryan S GrahamProfessor of Economics, University of California - BerkeleyVerifisert e-postadresse på econ.berkeley.edu
Richard SpadyResearch Professor of Economics, Johns Hopkins UniversityVerifisert e-postadresse på jhu.edu
Paul Goldsmith-PinkhamYale School of ManagementVerifisert e-postadresse på yale.edu
Alan KruegerPrinceton UniversityVerifisert e-postadresse på princeton.edu

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guido imbens

Stanford University

Verifisert e-postadresse på stanford.edu

causal inference econometrics


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Identification of causal effects using instrumental variables JD Angrist, GW Imbens, DB Rubin Journal of the American statistical Association 91 (434), 444-455, 1996	7745	1996
Identification and estimation of local average treatment effects J Angrist, G Imbens National Bureau of Economic Research, 1995	6583	1995
Recent developments in the econometrics of program evaluation GW Imbens, JM Wooldridge Journal of economic literature 47 (1), 5-86, 2009	6524	2009
Causal inference in statistics, social, and biomedical sciences GW Imbens, DB Rubin Cambridge university press, 2015	5865	2015
Regression discontinuity designs: A guide to practice GW Imbens, T Lemieux Journal of econometrics 142 (2), 615-635, 2008	5465	2008
Nonparametric estimation of average treatment effects under exogeneity: A review GW Imbens Review of Economics and statistics 86 (1), 4-29, 2004	4145	2004
Large sample properties of matching estimators for average treatment effects A Abadie, GW Imbens econometrica 74 (1), 235-267, 2006	3562	2006
Efficient estimation of average treatment effects using the estimated propensity score K Hirano, GW Imbens, G Ridder Econometrica 71 (4), 1161-1189, 2003	3252	2003
Optimal bandwidth choice for the regression discontinuity estimator G Imbens, K Kalyanaraman The Review of economic studies 79 (3), 933-959, 2012	3223	2012
When should you adjust standard errors for clustering? A Abadie, S Athey, GW Imbens, JM Wooldridge The Quarterly Journal of Economics 138 (1), 1-35, 2023	2800	2023
Redefine statistical significance DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ... Nature human behaviour 2 (1), 6-10, 2018	2712	2018
Bias-corrected matching estimators for average treatment effects A Abadie, GW Imbens Journal of Business & Economic Statistics 29 (1), 1-11, 2011	2637*	2011
The role of the propensity score in estimating dose-response functions GW Imbens Biometrika 87 (3), 706-710, 2000	2345	2000
Why high-order polynomials should not be used in regression discontinuity designs A Gelman, G Imbens Journal of Business & Economic Statistics 37 (3), 447-456, 2019	1989	2019
Recursive partitioning for heterogeneous causal effects S Athey, G Imbens Proceedings of the National Academy of Sciences 113 (27), 7353-7360, 2016	1907	2016
Implementing matching estimators for average treatment effects in Stata A Abadie, D Drukker, JL Herr, GW Imbens The stata journal 4 (3), 290-311, 2004	1691	2004
Two-stage least squares estimation of average causal effects in models with variable treatment intensity JD Angrist, GW Imbens Journal of the American statistical Association 90 (430), 431-442, 1995	1652	1995
The state of applied econometrics: Causality and policy evaluation S Athey, GW Imbens Journal of Economic perspectives 31 (2), 3-32, 2017	1642	2017
Identification and inference in nonlinear difference‐in‐differences models S Athey, GW Imbens Econometrica 74 (2), 431-497, 2006	1616	2006
The propensity score with continuous treatments K Hirano, GW Imbens Applied Bayesian modeling and causal inference from incomplete-data …, 2004	1544	2004

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