| Identification of causal effects using instrumental variables JD Angrist, GW Imbens, DB Rubin Journal of the American statistical Association 91 (434), 444-455, 1996 | 7997 | 1996 |
| Identification and estimation of local average treatment effects J Angrist, G Imbens National Bureau of Economic Research, 1995 | 6770 | 1995 |
| Recent developments in the econometrics of program evaluation GW Imbens, JM Wooldridge Journal of economic literature 47 (1), 5-86, 2009 | 6700 | 2009 |
| Causal inference in statistics, social, and biomedical sciences GW Imbens, DB Rubin Cambridge university press, 2015 | 6328 | 2015 |
| Regression discontinuity designs: A guide to practice GW Imbens, T Lemieux Journal of econometrics 142 (2), 615-635, 2008 | 5643 | 2008 |
| Nonparametric estimation of average treatment effects under exogeneity: A review GW Imbens Review of Economics and statistics 86 (1), 4-29, 2004 | 4265 | 2004 |
| Large sample properties of matching estimators for average treatment effects A Abadie, GW Imbens econometrica 74 (1), 235-267, 2006 | 3650 | 2006 |
| Efficient estimation of average treatment effects using the estimated propensity score K Hirano, GW Imbens, G Ridder Econometrica 71 (4), 1161-1189, 2003 | 3384 | 2003 |
| Optimal bandwidth choice for the regression discontinuity estimator G Imbens, K Kalyanaraman The Review of economic studies 79 (3), 933-959, 2012 | 3339 | 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 | 3137 | 2023 |
| Redefine statistical significance DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ... Nature human behaviour 2 (1), 6-10, 2018 | 2851 | 2018 |
| Bias-corrected matching estimators for average treatment effects A Abadie, GW Imbens Journal of Business & Economic Statistics 29 (1), 1-11, 2011 | 2676* | 2011 |
| The role of the propensity score in estimating dose-response functions GW Imbens Biometrika 87 (3), 706-710, 2000 | 2401 | 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 | 2131 | 2019 |
| Recursive partitioning for heterogeneous causal effects S Athey, G Imbens Proceedings of the National Academy of Sciences 113 (27), 7353-7360, 2016 | 2050 | 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 | 1742 | 2004 |
| The state of applied econometrics: Causality and policy evaluation S Athey, GW Imbens Journal of Economic perspectives 31 (2), 3-32, 2017 | 1739 | 2017 |
| 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 | 1721 | 1995 |
| Identification and inference in nonlinear difference‐in‐differences models S Athey, GW Imbens Econometrica 74 (2), 431-497, 2006 | 1681 | 2006 |
| Estimation of causal effects using propensity score weighting: An application to data on right heart catheterization K Hirano, GW Imbens Health Services and Outcomes research methodology 2, 259-278, 2001 | 1477 | 2001 |
Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of Businessstanford.edu의 이메일 확인됨
