Guido Imbens | Academic Influence

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According to Wikipedia, Guido Wilhelmus Imbens is a Dutch-American economist whose research concerns econometrics and statistics. He holds the Applied Econometrics Professorship in Economics at the Stanford Graduate School of Business at Stanford University, where he has taught since 2012.

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Guido Imbens's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Papers

Identification of Causal Effects Using Instrumental Variables (1993) (5463)
Identification and Estimation of Local Average Treatment Effects (1994) (4368)
Large Sample Properties of Matching Estimators for Average Treatment Effects (2004) (2680)
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score (2000) (2431)
The Role of the Propensity Score in Estimating Dose-Response Functions (1999) (1757)
Bias-Corrected Matching Estimators for Average Treatment Effects (2002) (1713)
Redefine statistical significance (2017) (1695)
Implementing Matching Estimators for Average Treatment Effects in Stata (2004) (1373)
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (2015) (1144)
Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity (1995) (1139)
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs (2014) (1131)
Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization (2001) (1062)
On the Failure of the Bootstrap for Matching Estimators (2006) (978)
The Propensity Score with Continuous Treatments (2005) (958)
Recursive partitioning for heterogeneous causal effects (2015) (951)
When Should You Adjust Standard Errors for Clustering? (2017) (948)
Dealing with limited overlap in estimation of average treatment effects (2009) (816)
The State of Applied Econometrics - Causality and Policy Evaluation (2016) (739)
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity (2002) (716)
Matching on the Estimated Propensity Score (2009) (713)
Confidence Intervals for Partially Identified Parameters (2003) (665)
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings (1999) (637)
Bayesian inference for causal effects in randomized experiments with noncompliance (1997) (541)
Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players (1999) (516)
Sensitivity to Exogeneity Assumptions in Program Evaluation (2003) (472)
Matching Methods in Practice: Three Examples (2014) (469)
Better Late than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) (2009) (468)
Estimating Outcome Distributions for Compliers in Instrumental Variables Models (1997) (443)
Information Theoretic Approaches to Inference in Moment Condition Models (1995) (428)
Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs : The Case of Manpower Training (2007) (393)
Causal Inference for Statistics, Social, and Biomedical Sciences: A General Method for Estimating Sampling Variances for Standard Estimators for Average Causal Effects (2015) (393)
Identification of Causal Effects Using Instrumental Variables: Comment (1996) (378)
Assessing the effect of an influenza vaccine in an encouragement design. (2000) (365)
Social Networks and the Identification of Peer Effects (2013) (358)
Causal Inference for Statistics, Social, and Biomedical Sciences: Sensitivity Analysis and Bounds (2015) (354)
The Econometrics of Randomized Experiments (2016) (346)
Machine Learning Methods That Economists Should Know About (2019) (346)
Promoting Transparency in Social Science Research (2014) (337)
Jackknife Instrumental Variables Estimation (1995) (329)
The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish (2000) (323)
Design-Based Analysis in Difference-in-Differences Settings with Staggered Adoption (2018) (319)
Approximate residual balancing: debiased inference of average treatment effects in high dimensions (2016) (311)
Balancing, Regression, Difference-in-Differences and Synthetic Control Methods: A Synthesis (2016) (310)
Combining Micro and Macro Data in Microeconometric Models (1994) (246)
Matrix Completion Methods for Causal Panel Data Models (2017) (245)
Robust Standard Errors in Small Samples: Some Practical Advice (2012) (245)
One-step estimators for over-identified generalized method of moments models (1997) (244)
The Effect of Implicit Contracts on the Movement of Wages Over the Business Cycle : Evidence from Micro Data (2007) (237)
Nonparametric Tests for Treatment Effect Heterogeneity (2006) (230)
An efficient method of moments estimator for discrete choice models with choice-based sampling (1992) (219)
Bias From Classical and Other Forms of Measurement Error (2000) (212)
Instrumental variable estimation of nonseparable models (2007) (207)
Site Selection Bias in Program Evaluation (2014) (202)
Empirical likelihood estimation and consistent tests with conditional moment restrictions (2003) (199)
Machine Learning Methods for Estimating Heterogeneous Causal Effects∗ (2015) (194)
Instrumental Variables: An Econometrician's Perspective (2014) (190)
Robust, accurate confidence intervals with a weak instrument: quarter of birth and education (2005) (188)
Imposing Moment Restrictions from Auxiliary Data by Weighting (1996) (181)
Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand (2006) (176)
Exact p-Values for Network Interference (2015) (174)
Evaluating the Differential Effects of Alternative Welfare‐to‐Work Training Components: A Reanalysis of the California GAIN Program (2006) (166)
Evaluating the Cost of Conscription in The Netherlands (1995) (164)
Predicting the efficacy of future training programs using past experiences at other locations (2005) (162)
Combining Panel Data Sets with Attrition and Refreshment Samples (1998) (161)
WORKING PAPER SERIES BETTER LATE THAN NOTHING : SOME COMMENTS ON DEATON ( 2009 ) AND HECKMAN AND URZUA (157)
Identification and Inference With Many Invalid Instruments (2011) (154)
Synthetic Difference in Differences (2018) (146)
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis (2017) (139)
EFFICIENT ESTIMATION OF AVERAGE TREATMENT EFFECTS (2003) (136)
Case-control studies with contaminated controls☆ (1996) (131)
Identification of Causal Effects Using Instrumental Variables: Rejoinder (1996) (127)
Nonparametric Applications of Bayesian Inference (1996) (112)
Propensity score matching and subclassification in observational studies with multi‐level treatments (2015) (99)
Why Ask Why? Forward Causal Inference and Reverse Causal Questions (2013) (96)
Mean-Squared-Error Calculations for Average Treatment Effects (2005) (95)
Efficient estimation and stratified sampling (1996) (93)
Choosing instrumental variables in conditional moment restriction models (2009) (87)
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics (2019) (87)
External Validity in Fuzzy Regression Discontinuity Designs (2014) (86)
Standards for Regression Discontinuity Designs. (2010) (84)
RANDOM EFFECTS ESTIMATORS WITH MANY INSTRUMENTAL VARIABLES (2004) (84)
Regression Discontinuity Designs: A Guide to Practice. NBER Working Paper No. 13039. (2007) (83)
Analyzing a randomized trial on breast self-examination with noncompliance and missing outcomes. (2004) (82)
Semiparametric Estimation of Average Treatment Eects under Exogeneity: A Review (2003) (80)
A Martingale Representation for Matching Estimators (2009) (78)
Special Issue Editors’ Introduction: The Regression Discontinuity Design - Theory and Applications (2008) (74)
Instrumental Variables Estimation of Quantile Treatment Effects (1998) (71)
Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis (2009) (67)
The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely (2019) (66)
Finite Population Causal Standard Errors (2014) (65)
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges (2017) (65)
Re-employment probabilities over the business cycle (1993) (61)
Average Causal Response with Variable Treatment Intensity (1995) (60)
Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach (2010) (59)
Optimized Regression Discontinuity Designs (2017) (58)
Estimation Considerations in Contextual Bandits (2017) (57)
Estimation of the Conditional Variance in Paired Experiments (2008) (56)
A Measure of Robustness to Misspecification (2015) (54)
Discrete Choice Models with Multiple Unobserved Choice Characteristics (2007) (51)
Machine Learning Methods for Estimating Heterogeneous Causal Eects (2015) (48)
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations (2019) (46)
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index (2016) (44)
Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing (2016) (44)
NNMATCH: Stata module to compute nearest-neighbor bias-corrected estimators (2004) (43)
Balanced Linear Contextual Bandits (2018) (42)
Transition Models in a Non-stationary Environment (1994) (42)
Advances in Economics and Econometrics: Nonadditive Models with Endogenous Regressors (2007) (40)
Pharmacogenetic testing among patients with mood and anxiety disorders is associated with decreased utilization and cost: A propensity‐score matched study (2018) (38)
Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes (2020) (38)
Identi cation and Inference in Nonlinear Di ¤ erence-InDi ¤ erences Models (2006) (38)
Inference for Misspecified Models With Fixed Regressors (2014) (36)
Synthetic Difference-in-Differences (2021) (32)
Addressing unmeasured confounding in comparative observational research (2018) (31)
Comment on James J. Heckman, `Instrumental variables: A study of implicit behavioral assumptions (1999) (30)
Measuring the Average Outcome and Inequality Effects of Segregation in the Presence of Social Spillovers (2005) (30)
Ensemble Methods for Causal Effects in Panel Data Settings (2019) (28)
Mean-Square-Error Calculations for Average Treatment Effects (2005) (27)
Accounting for Limited Overlap in Estimation of Average Treatment Eects under Unconfoundedness (2004) (26)
Machine Learning for Estimating Heterogeneous Causal Effects (2015) (26)
Peer Encouragement Designs in Causal Inference with Partial Interference and Identification of Local Average Network Effects (2016) (25)
Hierarchical Bayes Models with Many Instrumental Variables (1996) (25)
Double-Robust Identification for Causal Panel Data Models (2019) (25)
The Role of the Propensity Score in Fixed Effect Models (2018) (23)
Statistical Significance, p-Values, and the Reporting of Uncertainty (2021) (21)
Choosing the Number of Moments in Conditional Moment Restriction Models (2008) (21)
Understanding and misunderstanding randomized controlled trials: A commentary on Deaton and Cartwright. (2018) (20)
The Performance of Empirical Likelihood and its Generalizations (2005) (18)
Non-Parametric Demand Analysis with an Application to the Demand for Fish (1995) (18)
ON THE FAILURE OF THE BOOTSTRAP FOR (2008) (15)
An economist's perspective on Shadish (2010) and West and Thoemmes (2010). (2010) (15)
The Long-Term Gains from GAIN (2001) (14)
INSTRUMENTAL VARIABLES REGRESSION WITH WEAK INSTRUMENTS BY DOUGLAS STAIGER AND JAMES H. STOCK' (2007) (14)
Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models (2021) (14)
A Causal Bootstrap (2018) (13)
Some remarks on instrumental variables (2001) (13)
Optimal Experimental Design for Staggered Rollouts (2019) (13)
Confidence intervals in generalized method of moments models (2002) (12)
Discussion of: 'Causal Diagrams for Empirical Research' by J. Pearl (1995) (11)
Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations (2021) (11)
A Design-Based Perspective on Synthetic Control Methods (2021) (11)
Randomization Inference with an Instrumental Variable (2005) (10)
Welfare Reform in California: Design of the Impact Analysis (2000) (10)
Multiple Randomization Designs (2021) (10)
Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching (2016) (10)
Estimating average treatment effects in Stata (2007) (10)
Estimation and Inference for Generalized Full and Partial Means and Average Derivatives (2009) (9)
Long-term Causal Inference Under Persistent Confounding via Data Combination (2022) (9)
Redistributive Effects for Discretely-Valued Inputs (2007) (8)
A Martingale Representation for Matching (2011) (8)
A New Approach to Generalized Method on Moments Estimation (1993) (7)
Bayesian Meta-Prior Learning Using Empirical Bayes (2020) (7)
Rejoinder of "Instrumental Variables: An Econometrician's Perspective" (2014) (7)
Job separations and job matching (1987) (7)
Fisher's Exact P-Values for Completely Randomized Experiments (2015) (7)
The Analysis of Randomized Experiments with Missing Data (2000) (6)
Imposing Moment Restrictions by Weighting (1999) (6)
Robust Inference for Misspecified Models Conditional on Covariates (2011) (6)
Assessing Overlap in Covariate Distributions (2015) (5)
Double-Robust Two-Way-Fixed-Effects Regression For Panel Data (2021) (5)
Welfare Reform in California: Early Results from the Impact Analysis (2003) (5)
Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment (2001) (5)
Book Review Feature: Public Policy in an Uncertain World: By Charles F. Manski (Cambridge, MA: Harvard University Press. 2013, pp. 224, $39.95. ISBN: 978‐0674066892) (2013) (5)
Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei (2019) (5)
Propensity Score Matching and Subclassification With Multi-Level Treatments. (2014) (4)
Propensity Score Matching , a Distance-Based Measure of Migration , and the Wages of Young Men (2006) (4)
Breiman's Two Cultures: A Perspective from Econometrics (2021) (4)
Semiparametric Estimation of Treatment Effects in Randomized Experiments (2021) (4)
Causal Inference for Statistics, Social, and Biomedical Sciences: Causality: The Basic Framework (2015) (4)
Efficient Treatment Effect Estimation in Observational Studies under Heterogeneous Partial Interference (2021) (3)
Subclassification on the Propensity Score (2015) (3)
The Foundations of Econometric Analysis, DAVID F. HENDRY AND MARY S. MORGAN, Cambridge University Press, Cambridge, ISBN 0-521-38043-X, 558pp, £40 hb. (1997) (3)
Semiparametric Applications of Bayesian Influence (1995) (3)
Causal Inference for Statistics, Social, and Biomedical Sciences: Instrumental Variables Analysis of Randomized Experiments with Two-Sided Noncompliance (2015) (2)
On-Line Appendix \Matching on the Estimated Propensity Score" (Abadie and Imbens, 2015) (2015) (2)
Stratified Randomized Experiments (2015) (2)
MACHINE LEARNING METHODS IN ECONOMICS AND ECONOMETRICS ‡ A Measure of Robustness to Misspecification † (2015) (2)
Rejoinder (2013) (2)
Doubly robust identification for causal panel data models (2019) (2)
Duration models with time-varying coefficients (1989) (2)
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls (2021) (2)
Book review of "The Foundations of Econometric Analysis" by David Hendry and Mary Morgan (1997) (2)
Instrumental Variables Analysis of Randomized Experiments with One-Sided Noncompliance (2015) (2)
Matching methods for estimating treatment effects using Stata (2006) (2)
Optimal Stock/Flow Panels (1995) (2)
Raking and Regression (1993) (2)
Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton (2018) (2)
NOTES AND COMMENTS CONFIDENCE INTERVALS FOR PARTIALLY IDENTIFIED PARAMETERS (2004) (1)
Nonparametric Application of Bayesian Inference (2003) (1)
Measuring the e ¤ ects of segregation in the presence of social spillovers : a nonparametric approach 1 (2010) (1)
Matching to Improve Balance in Covariate Distributions (2015) (1)
Evaluation of a Program to Help Minorities Succeed (2006) (1)
Pairwise Randomized Experiments (2015) (1)
THE ET INTERVIEW: PROFESSOR GARY CHAMBERLAIN (2021) (1)
Decoupling Learning Rates Using Empirical Bayes Priors (2020) (1)
Challenges in Econometrics (2010) (1)
Unconfounded Treatment Assignment (2015) (1)
Regression Methods for Completely Randomized Experiments (2015) (1)
Inference for General Causal Estimands (2015) (1)
Tilburg University Sources of identifying information in evaluation models (2010) (0)
Review of the book “ Causal Inference for Statistics , Social , and Biomedical Sciences ” by (2012) (0)
Model-Based Analysis in Instrumental Variable Settings: Randomized Experiments with Two-Sided Noncompliance (2015) (0)
JEL Classification : C 14 , C 21 , C 52 Keywords : Causality , Instrumental Variables , Local Average Treatment Effects , Regression Discontinuity Designs , Internal Validity , External Validity (0)
Using Refreshment Samples to Correct for Selective Attrition (1998) (0)
SITE SELECTION BIAS IN PROGRAM EVALUATION Site Selection Bias in Program Evaluation (2014) (0)
A Taxonomy of Classical Randomized Experiments (2015) (0)
“ A Course in Applied Econometrics ” Lecture 13 Bayesian Inference (0)
1 Title : Redefine Statistical Significance (2017) (0)
The Integrated Graduate Education and Training Program in Politics, Economics, Psychology and Public Policy (2005) (0)
Efficient estimation of choice-based sample methods with the method of moments (1989) (0)
Cond ence intervals in generalizedmethodof moments models (2002) (0)
NBER WORKING PAPER SERIES SYNTHETIC DIFFERENCE IN DIFFERENCES (2021) (0)
A Classification of Assignment Mechanisms (2015) (0)
WITH MANY INSTRUMENTAL VARIABLES (2004) (0)
Title Nonparametric Bounds on Causal Effects from Partial Compliance Data (1993) (0)
“ A Course in Applied Econometrics ” Lecture 8 Discrete Choice Models (0)
Model-Based Inference for Completely Randomized Experiments (2015) (0)
The Returns to Schooling for Displaced Workers (2012) (0)
REGULAR ASSIGNMENT MECHANISMS: ANALYSIS (2015) (0)
“ A Course in Applied Econometrics ” Lecture 10 Partial Identification (0)
IMBENS ONE-STEP ESTIMATORS 361 Given a sequence of independent and identically distributed random variables { X " } we are interested in estimating 0 * (2007) (0)
Conclusions and Extensions (2015) (0)
List of contributors (2020) (0)
A Brief History of the Potential Outcomes Approach to Causal Inference (2015) (0)
Case Study: An Experimental Evaluation of a Labor Market Program (2015) (0)
Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens (2022) (0)
IN THIS PAPER A NEW ESTIMATOR is proposed for discrete choice models with choice-based sampling. Discrete choice models, or qualitative response models (1992) (0)
Bias-adjusted Nearest Neighbor Estimation for the Partial Linear Model (2005) (0)
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager (2022) (0)
Neyman's Repeated Sampling Approach to Completely Randomized Experiments (2015) (0)
CLASSICAL RANDOMIZED EXPERIMENTS (2015) (0)
“ A Course in Applied Econometrics ” Lecture 15 Weak Instruments and Many Instruments (0)
Estimating the Propensity Score (2015) (0)
Prepared for the International Initiative for Impact Evaluation, 3ie (0)
Matched Sampling for Causal Effects by Donald B. Rubin (2007) (0)
Causality in Econometrics: Choice vs Chance (2022) (0)
Proof of Proposition 1 in : “ Matching on the Estimated Propensity Score ” ( Abadie and Imbens (2012) (0)
NBER WORKING PAPER SERIES FINITE POPULATION CAUSAL STANDARD ERRORS (0)

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