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

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Stanford University

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causal inference econometrics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras 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	7729	1996
Identification and estimation of local average treatment effects J Angrist, G Imbens National Bureau of Economic Research, 1995	6563	1995
Recent developments in the econometrics of program evaluation GW Imbens, JM Wooldridge Journal of economic literature 47 (1), 5-86, 2009	6505	2009
Causal inference in statistics, social, and biomedical sciences GW Imbens, DB Rubin Cambridge university press, 2015	5851	2015
Regression discontinuity designs: A guide to practice GW Imbens, T Lemieux Journal of econometrics 142 (2), 615-635, 2008	5453	2008
Nonparametric estimation of average treatment effects under exogeneity: A review GW Imbens Review of Economics and statistics 86 (1), 4-29, 2004	4138	2004
Large sample properties of matching estimators for average treatment effects A Abadie, GW Imbens econometrica 74 (1), 235-267, 2006	3553	2006
Efficient estimation of average treatment effects using the estimated propensity score K Hirano, GW Imbens, G Ridder Econometrica 71 (4), 1161-1189, 2003	3245	2003
Optimal bandwidth choice for the regression discontinuity estimator G Imbens, K Kalyanaraman The Review of economic studies 79 (3), 933-959, 2012	3213	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	2769	2023
Redefine statistical significance DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ... Nature human behaviour 2 (1), 6-10, 2018	2705	2018
Bias-corrected matching estimators for average treatment effects A Abadie, GW Imbens Journal of Business & Economic Statistics 29 (1), 1-11, 2011	2636*	2011
The role of the propensity score in estimating dose-response functions GW Imbens Biometrika 87 (3), 706-710, 2000	2341	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	1986	2019
Recursive partitioning for heterogeneous causal effects S Athey, G Imbens Proceedings of the National Academy of Sciences 113 (27), 7353-7360, 2016	1891	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	1688	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	1646	1995
The state of applied econometrics: Causality and policy evaluation S Athey, GW Imbens Journal of Economic perspectives 31 (2), 3-32, 2017	1631	2017
Identification and inference in nonlinear difference‐in‐differences models S Athey, GW Imbens Econometrica 74 (2), 431-497, 2006	1609	2006
The propensity score with continuous treatments K Hirano, GW Imbens Applied Bayesian modeling and causal inference from incomplete-data …, 2004	1540	2004

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