Follow
guido imbens
guido imbens
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Identification of causal effects using instrumental variables
JD Angrist, GW Imbens, DB Rubin
Journal of the American statistical Association 91 (434), 444-455, 1996
79971996
Identification and estimation of local average treatment effects
J Angrist, G Imbens
National Bureau of Economic Research, 1995
67701995
Recent developments in the econometrics of program evaluation
GW Imbens, JM Wooldridge
Journal of economic literature 47 (1), 5-86, 2009
67002009
Causal inference in statistics, social, and biomedical sciences
GW Imbens, DB Rubin
Cambridge university press, 2015
63282015
Regression discontinuity designs: A guide to practice
GW Imbens, T Lemieux
Journal of econometrics 142 (2), 615-635, 2008
56432008
Nonparametric estimation of average treatment effects under exogeneity: A review
GW Imbens
Review of Economics and statistics 86 (1), 4-29, 2004
42652004
Large sample properties of matching estimators for average treatment effects
A Abadie, GW Imbens
econometrica 74 (1), 235-267, 2006
36502006
Efficient estimation of average treatment effects using the estimated propensity score
K Hirano, GW Imbens, G Ridder
Econometrica 71 (4), 1161-1189, 2003
33842003
Optimal bandwidth choice for the regression discontinuity estimator
G Imbens, K Kalyanaraman
The Review of economic studies 79 (3), 933-959, 2012
33392012
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
31372023
Redefine statistical significance
DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ...
Nature human behaviour 2 (1), 6-10, 2018
28512018
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
24012000
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
21312019
Recursive partitioning for heterogeneous causal effects
S Athey, G Imbens
Proceedings of the National Academy of Sciences 113 (27), 7353-7360, 2016
20502016
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
17422004
The state of applied econometrics: Causality and policy evaluation
S Athey, GW Imbens
Journal of Economic perspectives 31 (2), 3-32, 2017
17392017
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
17211995
Identification and inference in nonlinear difference‐in‐differences models
S Athey, GW Imbens
Econometrica 74 (2), 431-497, 2006
16812006
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
14772001
The system can't perform the operation now. Try again later.
Articles 1–20