Guido Imbens

Q: What Schools Are Affiliated With Guido Imbens

Guido Imbens is affiliated with the following schools: Erasmus University Rotterdam, Harvard University, Brown University, University of California, Los Angeles, Stanford University, University of Chicago

Guido Imbens's AcademicInfluence.com Rankings

Guido Imbens

Economics

#296

World Rank

#377

Historical Rank

Econometrics

#16

World Rank

#17

Historical Rank

economics Degrees

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Economics

Guido Imbens's Degrees

PhD Economics Brown University
Masters Econometrics Erasmus University Rotterdam
Bachelors Econometrics Erasmus University Rotterdam

Why Is Guido Imbens Influential?

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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 Works

Identification of Causal Effects Using Instrumental Variables (1993) (5588)
Identification and Estimation of Local Average Treatment Effects (1994) (4452)
Large Sample Properties of Matching Estimators for Average Treatment Effects (2004) (2734)
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score (2000) (2482)
Redefine statistical significance (2017) (1806)
The Role of the Propensity Score in Estimating Dose-Response Functions (1999) (1793)
Bias-Corrected Matching Estimators for Average Treatment Effects (2002) (1764)
Implementing Matching Estimators for Average Treatment Effects in Stata (2004) (1396)
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (2015) (1196)
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs (2014) (1188)
Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity (1995) (1159)
Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization (2001) (1079)
Recursive partitioning for heterogeneous causal effects (2015) (1021)
When Should You Adjust Standard Errors for Clustering? (2017) (1005)
On the Failure of the Bootstrap for Matching Estimators (2006) (1000)
The Propensity Score with Continuous Treatments (2005) (986)
Dealing with limited overlap in estimation of average treatment effects (2009) (842)
The State of Applied Econometrics - Causality and Policy Evaluation (2016) (775)
Matching on the Estimated Propensity Score (2009) (752)
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity (2002) (726)
Confidence Intervals for Partially Identified Parameters (2003) (675)
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings (1999) (644)
Bayesian inference for causal effects in randomized experiments with noncompliance (1997) (551)
Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players (1999) (523)
Matching Methods in Practice: Three Examples (2014) (485)
Sensitivity to Exogeneity Assumptions in Program Evaluation (2003) (481)
Better Late than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) (2009) (475)
Estimating Outcome Distributions for Compliers in Instrumental Variables Models (1997) (449)
Information Theoretic Approaches to Inference in Moment Condition Models (1995) (431)
Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs : The Case of Manpower Training (2007) (399)
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) (384)
Machine Learning Methods That Economists Should Know About (2019) (379)
Assessing the effect of an influenza vaccine in an encouragement design. (2000) (375)
Causal Inference for Statistics, Social, and Biomedical Sciences: Sensitivity Analysis and Bounds (2015) (369)
Social Networks and the Identification of Peer Effects (2013) (365)
The Econometrics of Randomized Experiments (2016) (363)
Design-Based Analysis in Difference-in-Differences Settings with Staggered Adoption (2018) (352)
Promoting Transparency in Social Science Research (2014) (351)
Jackknife Instrumental Variables Estimation (1995) (333)
Balancing, Regression, Difference-in-Differences and Synthetic Control Methods: A Synthesis (2016) (331)
The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish (2000) (327)
Approximate residual balancing: debiased inference of average treatment effects in high dimensions (2016) (325)
Matrix Completion Methods for Causal Panel Data Models (2017) (270)
Robust Standard Errors in Small Samples: Some Practical Advice (2012) (253)
Combining Micro and Macro Data in Microeconometric Models (1994) (251)
One-step estimators for over-identified generalized method of moments models (1997) (246)
The Effect of Implicit Contracts on the Movement of Wages Over the Business Cycle : Evidence from Micro Data (2007) (242)
Nonparametric Tests for Treatment Effect Heterogeneity (2006) (240)
An efficient method of moments estimator for discrete choice models with choice-based sampling (1992) (222)
Bias From Classical and Other Forms of Measurement Error (2000) (217)
Instrumental variable estimation of nonseparable models (2007) (211)
Machine Learning Methods for Estimating Heterogeneous Causal Effects∗ (2015) (207)
Site Selection Bias in Program Evaluation (2014) (206)
Empirical likelihood estimation and consistent tests with conditional moment restrictions (2003) (200)
Instrumental Variables: An Econometrician's Perspective (2014) (196)
Robust, accurate confidence intervals with a weak instrument: quarter of birth and education (2005) (189)
Exact p-Values for Network Interference (2015) (184)
Imposing Moment Restrictions from Auxiliary Data by Weighting (1996) (183)
Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand (2006) (182)
Evaluating the Differential Effects of Alternative Welfare‐to‐Work Training Components: A Reanalysis of the California GAIN Program (2006) (170)
Predicting the efficacy of future training programs using past experiences at other locations (2005) (165)
Evaluating the Cost of Conscription in The Netherlands (1995) (165)
Combining Panel Data Sets with Attrition and Refreshment Samples (1998) (165)
Identification and Inference With Many Invalid Instruments (2011) (164)
WORKING PAPER SERIES BETTER LATE THAN NOTHING : SOME COMMENTS ON DEATON ( 2009 ) AND HECKMAN AND URZUA (162)
Synthetic Difference in Differences (2018) (157)
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis (2017) (152)
EFFICIENT ESTIMATION OF AVERAGE TREATMENT EFFECTS (2003) (142)
Case-control studies with contaminated controls☆ (1996) (133)
Identification of Causal Effects Using Instrumental Variables: Rejoinder (1996) (126)
Nonparametric Applications of Bayesian Inference (1996) (116)
Propensity score matching and subclassification in observational studies with multi‐level treatments (2015) (102)
Why Ask Why? Forward Causal Inference and Reverse Causal Questions (2013) (101)
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics (2019) (98)
Mean-Squared-Error Calculations for Average Treatment Effects (2005) (95)
Efficient estimation and stratified sampling (1996) (94)
Choosing instrumental variables in conditional moment restriction models (2009) (90)
External Validity in Fuzzy Regression Discontinuity Designs (2014) (88)
Standards for Regression Discontinuity Designs. (2010) (85)
Analyzing a randomized trial on breast self-examination with noncompliance and missing outcomes. (2004) (85)
RANDOM EFFECTS ESTIMATORS WITH MANY INSTRUMENTAL VARIABLES (2004) (84)
Regression Discontinuity Designs: A Guide to Practice. NBER Working Paper No. 13039. (2007) (83)
A Martingale Representation for Matching Estimators (2009) (81)
Semiparametric Estimation of Average Treatment Eects under Exogeneity: A Review (2003) (81)
Special Issue Editors’ Introduction: The Regression Discontinuity Design - Theory and Applications (2008) (76)
The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely (2019) (72)
Instrumental Variables Estimation of Quantile Treatment Effects (1998) (72)
Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis (2009) (68)
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges (2017) (67)
Finite Population Causal Standard Errors (2014) (66)
Average Causal Response with Variable Treatment Intensity (1995) (61)
Synthetic Difference-in-Differences (2021) (61)
Re-employment probabilities over the business cycle (1993) (61)
Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach (2010) (61)
Estimation Considerations in Contextual Bandits (2017) (60)
Estimation of the Conditional Variance in Paired Experiments (2008) (59)
Optimized Regression Discontinuity Designs (2017) (59)
A Measure of Robustness to Misspecification (2015) (56)
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations (2019) (53)
Discrete Choice Models with Multiple Unobserved Choice Characteristics (2007) (51)
Machine Learning Methods for Estimating Heterogeneous Causal Eects (2015) (48)
Balanced Linear Contextual Bandits (2018) (45)
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index (2016) (44)
NNMATCH: Stata module to compute nearest-neighbor bias-corrected estimators (2004) (44)
Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing (2016) (44)
Transition Models in a Non-stationary Environment (1994) (42)
Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes (2020) (40)
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) (39)
Identi cation and Inference in Nonlinear Di ¤ erence-InDi ¤ erences Models (2006) (38)
Inference for Misspecified Models With Fixed Regressors (2014) (37)
Addressing unmeasured confounding in comparative observational research (2018) (31)
Ensemble Methods for Causal Effects in Panel Data Settings (2019) (31)
Measuring the Average Outcome and Inequality Effects of Segregation in the Presence of Social Spillovers (2005) (30)
Comment on James J. Heckman, `Instrumental variables: A study of implicit behavioral assumptions (1999) (30)
The Role of the Propensity Score in Fixed Effect Models (2018) (28)
Machine Learning for Estimating Heterogeneous Causal Effects (2015) (28)
Mean-Square-Error Calculations for Average Treatment Effects (2005) (27)
Statistical Significance, p-Values, and the Reporting of Uncertainty (2021) (26)
Accounting for Limited Overlap in Estimation of Average Treatment Eects under Unconfoundedness (2004) (26)
Peer Encouragement Designs in Causal Inference with Partial Interference and Identification of Local Average Network Effects (2016) (26)
Hierarchical Bayes Models with Many Instrumental Variables (1996) (25)
Double-Robust Identification for Causal Panel Data Models (2019) (25)
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) (21)
Non-Parametric Demand Analysis with an Application to the Demand for Fish (1995) (18)
The Performance of Empirical Likelihood and its Generalizations (2005) (18)
Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations (2021) (17)
A Causal Bootstrap (2018) (17)
Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models (2021) (17)
An economist's perspective on Shadish (2010) and West and Thoemmes (2010). (2010) (16)
Optimal Experimental Design for Staggered Rollouts (2019) (16)
ON THE FAILURE OF THE BOOTSTRAP FOR (2008) (15)
The Long-Term Gains from GAIN (2001) (14)
INSTRUMENTAL VARIABLES REGRESSION WITH WEAK INSTRUMENTS BY DOUGLAS STAIGER AND JAMES H. STOCK' (2007) (13)
Some remarks on instrumental variables (2001) (13)
Multiple Randomization Designs (2021) (13)
A Design-Based Perspective on Synthetic Control Methods (2021) (12)
Confidence intervals in generalized method of moments models (2002) (12)
Long-term Causal Inference Under Persistent Confounding via Data Combination (2022) (11)
Discussion of: 'Causal Diagrams for Empirical Research' by J. Pearl (1995) (11)
Estimating average treatment effects in Stata (2007) (10)
Randomization Inference with an Instrumental Variable (2005) (10)
Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching (2016) (10)
Welfare Reform in California: Design of the Impact Analysis (2000) (10)
Estimation and Inference for Generalized Full and Partial Means and Average Derivatives (2009) (9)
Bayesian Meta-Prior Learning Using Empirical Bayes (2020) (9)
Semiparametric Estimation of Treatment Effects in Randomized Experiments (2021) (8)
Redistributive Effects for Discretely-Valued Inputs (2007) (8)
A Martingale Representation for Matching (2011) (8)
Double-Robust Two-Way-Fixed-Effects Regression For Panel Data (2021) (7)
Fisher's Exact P-Values for Completely Randomized Experiments (2015) (7)
A New Approach to Generalized Method on Moments Estimation (1993) (7)
The Analysis of Randomized Experiments with Missing Data (2000) (7)
Job separations and job matching (1987) (7)
Rejoinder of "Instrumental Variables: An Econometrician's Perspective" (2014) (7)
Robust Inference for Misspecified Models Conditional on Covariates (2011) (6)
Imposing Moment Restrictions by Weighting (1999) (6)
Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei (2019) (6)
Propensity Score Matching , a Distance-Based Measure of Migration , and the Wages of Young Men (2006) (5)
Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment (2001) (5)
Welfare Reform in California: Early Results from the Impact Analysis (2003) (5)
Assessing Overlap in Covariate Distributions (2015) (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)
Propensity Score Matching and Subclassification With Multi-Level Treatments. (2014) (4)
Subclassification on the Propensity Score (2015) (4)
Doubly robust identification for causal panel data models (2019) (4)
Breiman's Two Cultures: A Perspective from Econometrics (2021) (4)
Efficient Treatment Effect Estimation in Observational Studies under Heterogeneous Partial Interference (2021) (4)
Causal Inference for Statistics, Social, and Biomedical Sciences: Causality: The Basic Framework (2015) (4)
Semiparametric Applications of Bayesian Influence (1995) (3)
Causality in Econometrics: Choice vs Chance (2022) (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)
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls (2021) (3)
Duration models with time-varying coefficients (1989) (2)
Optimal Stock/Flow Panels (1995) (2)
MACHINE LEARNING METHODS IN ECONOMICS AND ECONOMETRICS ‡ A Measure of Robustness to Misspecification † (2015) (2)
Rejoinder (2013) (2)
Stratified Randomized Experiments (2015) (2)
Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton (2018) (2)
Raking and Regression (1993) (2)
Instrumental Variables Analysis of Randomized Experiments with One-Sided Noncompliance (2015) (2)
Matching methods for estimating treatment effects using Stata (2006) (2)
Causal Inference for Statistics, Social, and Biomedical Sciences: Instrumental Variables Analysis of Randomized Experiments with Two-Sided Noncompliance (2015) (2)
Book review of "The Foundations of Econometric Analysis" by David Hendry and Mary Morgan (1997) (2)
On-Line Appendix \Matching on the Estimated Propensity Score" (Abadie and Imbens, 2015) (2015) (2)
Regression Methods for Completely Randomized Experiments (2015) (1)
Inference for General Causal Estimands (2015) (1)
Evaluation of a Program to Help Minorities Succeed (2006) (1)
THE ET INTERVIEW: PROFESSOR GARY CHAMBERLAIN (2021) (1)
Nonparametric Application of Bayesian Inference (2003) (1)
Challenges in Econometrics (2010) (1)
Pairwise Randomized Experiments (2015) (1)
Matching to Improve Balance in Covariate Distributions (2015) (1)
Measuring the e ¤ ects of segregation in the presence of social spillovers : a nonparametric approach 1 (2010) (1)
Unconfounded Treatment Assignment (2015) (1)
Decoupling Learning Rates Using Empirical Bayes Priors (2020) (1)
NOTES AND COMMENTS CONFIDENCE INTERVALS FOR PARTIALLY IDENTIFIED PARAMETERS (2004) (1)
Estimating the Propensity Score (2015) (0)
Conclusions and Extensions (2015) (0)
CLASSICAL RANDOMIZED EXPERIMENTS (2015) (0)
Synthetic Difference-in-Differences Estimation (2023) (0)
WITH MANY INSTRUMENTAL VARIABLES (2004) (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)
REGULAR ASSIGNMENT MECHANISMS: ANALYSIS (2015) (0)
Model-Based Analysis in Instrumental Variable Settings: Randomized Experiments with Two-Sided Noncompliance (2015) (0)
“ A Course in Applied Econometrics ” Lecture 8 Discrete Choice Models (0)
Experimental Design in Marketplaces (2023) (0)
Efficient estimation of choice-based sample methods with the method of moments (1989) (0)
The Returns to Schooling for Displaced Workers (2012) (0)
A Brief History of the Potential Outcomes Approach to Causal Inference (2015) (0)
Tilburg University Sources of identifying information in evaluation models (2010) (0)
“ A Course in Applied Econometrics ” Lecture 15 Weak Instruments and Many Instruments (0)
Prepared for the International Initiative for Impact Evaluation, 3ie (0)
Title Nonparametric Bounds on Causal Effects from Partial Compliance Data (1993) (0)
“ A Course in Applied Econometrics ” Lecture 10 Partial Identification (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)
A Classification of Assignment Mechanisms (2015) (0)
Matched Sampling for Causal Effects by Donald B. Rubin (2007) (0)
Model-Based Inference for Completely Randomized Experiments (2015) (0)
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control (2023) (0)
A Taxonomy of Classical Randomized Experiments (2015) (0)
NBER WORKING PAPER SERIES SYNTHETIC DIFFERENCE IN DIFFERENCES (2021) (0)
Bias-adjusted Nearest Neighbor Estimation for the Partial Linear Model (2005) (0)
Case Study: An Experimental Evaluation of a Labor Market Program (2015) (0)
List of contributors (2020) (0)
Fixed Effects and the Generalized Mundlak Estimator (2018) (0)
Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens (2022) (0)
SITE SELECTION BIAS IN PROGRAM EVALUATION Site Selection Bias in Program Evaluation (2014) (0)
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager (2022) (0)
Using Refreshment Samples to Correct for Selective Attrition (1998) (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)
JEL Classification : C 14 , C 21 , C 52 Keywords : Causality , Instrumental Variables , Local Average Treatment Effects , Regression Discontinuity Designs , Internal Validity , External Validity (0)
The Integrated Graduate Education and Training Program in Politics, Economics, Psychology and Public Policy (2005) (0)
“ A Course in Applied Econometrics ” Lecture 13 Bayesian Inference (0)
Redefine statistical significance (2017) (0)
Neyman's Repeated Sampling Approach to Completely Randomized Experiments (2015) (0)
Review of the book “ Causal Inference for Statistics , Social , and Biomedical Sciences ” by (2012) (0)
1 Title : Redefine Statistical Significance (2017) (0)
Cond ence intervals in generalizedmethodof moments models (2002) (0)

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What Schools Are Affiliated With Guido Imbens?

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Guido Imbens's Academic­Influence.com Rankings