Guido Imbens
Names
first:
Guido
last:
Imbens
Contact
email:
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homepage:
http://elsa.berkeley.edu/~imbens/
phone:
650-642-5843
postal address:
department of economics
661 Evans Hall #3880
UC Berkeley
Berkeley, CA 94720-3880
USA
Affiliations
Stanford University
→ Graduate School of Business (weight: 99%)
website
location: Stanford, California (United States)
National Bureau of Economic Research (NBER) (weight: 1%)
website
location: Cambridge, Massachusetts (United States)
Research profile
author of:
Evaluating the Cost of Conscription in the Netherlands by Imbens, G. & Van Der Klaauw, W.
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score by Guido Imbens
EFFICIENT ESTIMATION AND STRATIFIED SAMPLING. by IMBENS, G. & LANCASTER, T.
AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DISCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING. by IMBENS, G. W.
Sources of Identifying Information in Evaluation Models. by Angrist, J. D. & Imbens, G. W.
Combining Micro and Macro Data in Microeconometric Models. by Imbens, G. W. & Lancaster, T.
Average Causal Response with Variable Treatment Intensity. by Imbens, G. & Angrist, J. D.
Case-Control Studies with Contaminated Controls. by Imbens, G. & Lancaster, T.
Evolution and Rationality Some Recent Game-Theoretic Results. Identification and Estimation of Local Average Treatment Effects. by Imbens, G. W.
Evaluating the Cost of Conscription in the Netherlands. by Imbens, G. & Van Der Klaauw, W.
A New Approach to Generalized Method on Moments Estimation. by Imbens, G.
Raking and Regression by Imbens, G. W. & Hellerstein, J. K.
Semiparametric Applications of Bayesian Influence by Gary Chamberlain & Guido W. Imbens
Information Theoretic Approaches to Inference in Moment Condition Models by Guido W. Imbens & Phillip Johnson & Richard H. Spady
Nonparametric Applications of Bayesian Inference by Gary Chamberlain & Guido W. Imbens
Hierarchical Bayes Models with Many Instrumental Variables by Gary Chamberlain & Guido W. Imbens
AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DESCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING. by IMBENS, G. W.
Sources of Identifying Information in Evaluation Models. by Angrist, J. D. & Imbens, G. W.
Efficient Estimation and Stratified Sampling. by Imbens, G. & Lancaster, T.
Average Causal Response with Variable Treatment Intensity. by Angrist, J. D. & Imbens, G. W.
Case-Control Studies with Contaminated Controls. by Imbens, G. & Lancaster, T.
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings by Alberto Abadie & Joshua Angrist & Guido Imbens
Sources of Identifying Information in Evaluation Models by Joshua D. Angrist & Guido W. Imbens
Identification of Causal Effects Using Instrumental Variables by J. D. Angrist & Guido W. Imbens & D. B. Rubin
Jackknife Instrumental Variables Estimation by Joshua D. Angrist & Guido W. Imbens & Alan Krueger
Information Theoretic Approaches to Inference in Moment Condition Models by Guido W. Imbens & Phillip Johnson & Richard H. Spady
Nonparametric Applications of Bayesian Inference by Gary Chamberlain & Guido W. Imbens
Imposing Moment Restrictions from Auxiliary Data by Weighting by Guido W. Imbens & Judith K. Hellerstein
Hierarchical Bayes Models with Many Instrumental Variables by Gary Chamberlain & Guido W. Imbens
Instrumental Variables Estimation of Quantile Treatment Effects by Alberto Abadie & Joshua D. Angrist & Guido W. Imbens
Combining Panel Data Sets with Attrition and Refreshment Samples by Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rebin
The Role of the Propensity Score in Estimating Dose-Response Functions by Guido W. Imbens
Predicting the Efficacy of Future Training Programs Using Past Experiences by V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score by Keisuke Hirano & Guido W. Imbens & Geert Ridder
Bias from Classical and Other Forms of Measurement Error by Dean R. Hyslop & Guido W. Imbens
Re-Employment Probabilities over the Business Cycle by Guido W. Imbens & Lisa M. Lynch
Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players by Guido W. Imbens & Donald B. Rubin & Bruce Sacerdote
The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program by V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman
Information Theoretic Approaches to Inference in Movement Condition Models. by Imbens, G. W. & Johnson, P. & Spady, R. H.
Evaluating the Cost of Conscription in The Netherlands. by Imbens, Guido & van der Klaauw, Wilbert
An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling. by Imbens, Guido W.
Information Theoretic Approaches to Inference in Moment Condition Models by Guido W. Imbens & Richard H. Spady & Phillip Johnson
Jackknife Instrumental Variables Estimation. by Angrist, J. D. & Imbens, G. W. & Krueger, A. B.
Transition Models in a Non-stationary Environment. by Imbens, G. W.
Imposing Moment Restrictions From Auxiliary Data By Weighting by Judith K. Hellerstein & Guido W. Imbens
Simple and Bias-Corrected Matching Estimators for Average Treatment Effects by Alberto Abadie & Guido W. Imbens
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings by Alberto Abadie & Joshua Angrist & Guido Imbens
Random Effects Estimators with many Instrumental Variables by Gary Chamberlain & Guido Imbens
Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review by Guido W. Imbens
Bias from Classical and Other Forms of Measurement Error. by Hyslop, Dean R. & Imbens, Guido W.
Efficient estimation and stratified sampling by Imbens, Guido W. & Lancaster, Tony
Identification and Estimation of Local Average Treatment Effects. by Imbens, Guido W. & Angrist, Joshua D.
Nonparametric Applications of Bayesian Inference. by Chamberlain, Gary & Imbens, Guido W.
Generalized Method of Moments and Empirical Likelihood. by Imbens, Guido W.
Optimal stock/flow panels by Lancaster, Tony & Imbens, Guido
Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment. by Imbens, Guido W.
Identification and Estimation of Triangular Simultaneous Equations Models without Additivity by Whitney Newey & Guido Imbens
Case-control studies with contaminated controls by Lancaster, Tony & Imbens, Guido
Implementing matching estimators for average treatment effects in Stata by Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens
Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players by Guido W. Imbens & Donald B. Rubin & Bruce I. Sacerdote
Identification and Estimation of Local Average Treatment Effects by Joshua D. Angrist & Guido W. Imbens
Average Causal Response with Variable Treatment Intensity by Joshua D. Angrist & Guido W. Imbens
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity by Guido W. Imbens & Whitney K. Newey
Combining Panel Data Sets with Attrition and Refreshment Samples by Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin
Confidence Intervals for Partially Identified Parameters by Guido W. Imbens & Charles F. Manski
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score by Keisuke Hirano & Guido W. Imbens & Geert Ridder
Identification and Inference in Nonlinear Difference-In-Differences Models by Susan Athey & Guido W. Imbens
NNMATCH: Stata module to compute nearest-neighbor bias-corrected estimators by Alberto Abadie & Jane Leber Herr & Guido W. Imbens & David M. Drukker
Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review by Guido W. Imbens
Information theoretic approaches to inference in moment condition model by Guido W. Imbens, Phillip Johnson & Richard H. Spady
Sensitivity to Exogeneity Assumptions in Program Evaluation by Guildo W. Imbens
Non-Parametric Demand Analysis with an Application to the Demand for Fish by Joshua D. Angrist & Kathryn Graddy & Guido W. Imbens
Predicting the efficacy of future training programs using past experiences at other locations by Joseph Hotz, V. & Imbens, Guido W. & Mortimer, Julie H.
Empirical likelihood estimation and consistent tests with conditional moment restrictions by Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K.
Confidence intervals for partially identified parameters by Guido Imbens & Charles F. Manski
Confidence intervals in generalized method of moments models by Imbens, Guido W. & Spady, Richard
Estimating average treatment effects in Stata by Guido Imbens
Optimal bandwidth choice for the regression discontinuity estimator by Guido Imbens & Karthik Kalyanaraman
Recent developments in the econometrics of program evaluation by Guido Imbens & Jeffrey M. Wooldridge
Optimal Bandwidth Choice for the Regression Discontinuity Estimator by Guido Imbens & Karthik Kalyanaraman
Re-employment probabilities over the business cycle by Guido Imbens & Lisa Lynch
Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand by Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A.
Mean-squared-error Calculations for Average Treatment Effects by Guido W. Imbens & Whitney Newey & Geert Ridder
A Martingale Representation for Matching Estimators by Alberto Abadie & Guido Imbens
Regression Discontinuity Designs: A Guide to Practice by Guido Imbens & Thomas Lemieux
Identification and Inference in Nonlinear Difference-in-Differences Models by Susan Athey & Guido Imbens
Regression Discontinuity Designs: A Guide to Practice by Guido Imbens & Thomas Lemieux
Special issue editors' introduction: The regression discontinuity design--Theory and applications by Imbens, Guido & Lemieux, Thomas
An empirical model for strategic network formation by Nicholas Christakis & James Fowler & Guido Imbens & Karthik Kalyanaraman
The Analysis of Randomized Experiments with Missing Data by Pizer, William & Imbens, Guido
On the Failure of the Bootstrap for Matching Estimators by Alberto Abadie & Guido W. Imbens
Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) by Guido W. Imbens
Recent Developments in the Econometrics of Program Evaluation by Imbens, Guido W. & Wooldridge, Jeffrey M.
Clustering, Spatial Correlations and Randomization Inference by Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesar
Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program by V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman
Dealing with Limited Overlap in Estimation of Average Treatment Effects by Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik
Robust, accurate confidence intervals with a weak instrument: quarter of birth and education by Guido W. Imbens & Paul R. Rosenbaum
Recent Developments in the Econometrics of Program Evaluation by Guido M. Imbens & Jeffrey M. Wooldridge
Recent Developments in the Econometrics of Program Evaluation by Guido W. Imbens & Jeffrey M. Wooldridge
Identification and Inference in Nonlinear Difference-in-Differences Models by Susan Athey & Guido W. Imbens
Re-Employment Probabilities over the Business Cycle by Imbens, Guido W. & Lynch, Lisa M.
On the Failure of the Bootstrap for Matching Estimators by Alberto Abadie & Guido W. Imbens
An Empirical Model for Strategic Network Formation by Nicholas A. Christakis & James H. Fowler & Guido W. Imbens & Karthik Kalyanaraman
Large Sample Properties of Matching Estimators for Average Treatment Effects by Alberto Abadie & Guido W. Imbens
Dealing with limited overlap in estimation of average treatment effects by Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik
A Martingale Representation for Matching Estimators by Abadie, Alberto & Imbens, Guido W.
DISCRETE CHOICE MODELS WITH MULTIPLE UNOBSERVED CHOICE CHARACTERISTICS by Susan Athey & Guido W. Imbens
Matching methods for estimating treatment effects using Stata by Guido W. Imbens
Instrumental variable estimation of nonseparable models by Chernozhukov, Victor & Imbens, Guido W. & Newey, Whitney K.
Nonparametric Tests for Treatment Effect Heterogeneity by Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik
Matched Sampling for Causal Effects by Donald B. Rubin by Guido W. Imbens
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity by Guido W. Imbens & Whitney K. Newey
Choosing instrumental variables in conditional moment restriction models by Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K.
Nonparametric Tests for Treatment Effect Heterogeneity by Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik
Optimal Bandwidth Choice for the Regression Discontinuity Estimator by Imbens, Guido W. & Kalyanaraman, Karthik
Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program by V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman
Bias-Corrected Matching Estimators for Average Treatment Effects by Abadie, Alberto & Imbens, Guido W.
Nonparametric Tests for Treatment Effect Heterogeneity by Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik
Matching on the Estimated Propensity Score by Alberto Abadie & Guido W. Imbens
Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations" by Joshua D. Angrist & Guido W. Imbens
Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis by Bryan S. Graham & Guido W. Imbens & Geert Ridder
Regression discontinuity designs: A guide to practice by Imbens, Guido W. & Lemieux, Thomas
Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) by Guido W. Imbens
Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand by Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik
Nonparametric Tests for Treatment Effect Heterogeneity by Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A.
Mean-square-error Calculations for Average Treatment Effects by Guido W. Imbens & Whitney Newey & Geert Ridder
Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand by Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik
Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach by Bryan S. Graham & Guido W. Imbens & Geert Ridder
Nonparametric Applications of Bayesian Inference by Imbens, Guido & Chamberlain, Gary
On the Failure of the Bootstrap for Matching Estimators by Imbens, Guido & Abadie, Alberto
The Regression Discontinuity Design â€” Theory and Applications by Lemieux, Thomas & Imbens, Guido
Nonparametric Tests for Treatment Effect Heterogeneity by Mitnik, Oscar K. & Imbens, Guido & Hotz, V. Joseph & Crump, Richard K.
Dealing with Limited Overlap in Estimation of Average Treatment Effects by Hotz, V. Joseph & Crump, Richard K. & Mitnik, Oscar A. & Imbens, Guido
Recent Developments in the Econometrics of Program Evaluation by Wooldridge, Jeffrey M. & Imbens, Guido
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) by Guido Imbens
Why ask Why? Forward Causal Inference and Reverse Causal Questions by Andrew Gelman & Guido Imbens
Rejoinder by Paul Goldsmith-Pinkham & Guido Imbens
Hierarchical Bayes Models with Many Instrumental Variables by Chamberlain, Gary & Imbens, Guido
Optimal Bandwidth Choice for the Regression Discontinuity Estimator by Guido Imbens & Karthik Kalyanaraman
Social Networks and the Identification of Peer Effects by Paul Goldsmith-Pinkham & Guido W. Imbens
Robust Standard Errors in Small Samples: Some Practical Advice by Guido W. Imbens & Michal Kolesar
Robust Inference for Misspecified Models Conditional on Covariates by Alberto Abadie & Guido W. Imbens & Fanyin Zheng
Identification and Inference with Many Invalid Instruments by Michal Kolesár & Raj Chetty & John N. Friedman & Edward L. Glaeser & Guido W. Imbens
A Martingale Representation for Matching Estimators by Alberto Abadie & Guido W. Imbens
Clustering, Spatial Correlations, and Randomization Inference by Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesár
Matching Methods in Practice: Three Examples by Guido Imbens
Instrumental Variables: An Econometrician's Perspective by Guido Imbens
Finite Population Causal Standard Errors by Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge
Why High-order Polynomials Should not be Used in Regression Discontinuity Designs by Andrew Gelman & Guido Imbens
Estimating the effect of unearned income on labor supply, earnings, savings and consumption : Evidence from a survey of lottery players by Imbens, G. W. & Rubin, D. & Sacerdote, B.
An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling by Imbens, G. W.
Instrumental Variables: An Econometrician's Perspective by Imbens, Guido W.
Bias-Corrected Matching Estimators for Average Treatment Effects by Alberto Abadie & Guido W. Imbens
Average causal response with variable treatment intensity by Angrist, J. D. & Imbens, G. W.
Case-Control Studies with Contaminated Controls by Imbens, G. W. & Lancaster, T.
Matching Methods in Practice: Three Examples by Imbens, Guido W.
Complementarity and aggregate implications of assortative matching: A nonparametric analysis by Bryan S. Graham & Guido W. Imbens & Geert Ridder
Efficient estimation and stratified sampling by Imbens, G. W. & Lancaster, T.
Sources of identifying information in evaluation models by Angrist, J. D. & Imbens, G. W.
External Validity in Fuzzy Regression Discontinuity Designs by Marinho Bertanha & Guido W. Imbens
Exact P-values for Network Interference by Susan Athey & Dean Eckles & Guido W. Imbens
A Measure of Robustness to Misspecification by Susan Athey & Guido Imbens
Combining Panel Data Sets with Attrition and Refreshment Samples by Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin
Standards for Regression Discontinuity Designs by P. Schochet & T. Cook & J. Deke & G. Imbens & J. R. Lockwood & J. Porter & J. Smith
Inference for Misspecified Models With Fixed Regressors by Alberto Abadie & Guido W. Imbens & Fanyin Zheng
Efficient estimation of choice-based sample methods with the method of moments by Imbens, G. W.
Duration models with time-varying coefficients by Imbens, G. W.
Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching by Bryan S. Graham & Guido W. Imbens & Geert Ridder
Combining Micro and Macro Data in Microeconometric Models by Guido W. Imbens & Tony Lancaster
Exact P-Values for Network Interference by Athey, Susan & Eckles, Dean & Imbens, Guido W.
One-Step Estimators for Over-Identified Generalized Method of Moments Models by Guido W. Imbens
Estimation of the Conditional Variance in Paired Experiments by Alberto Abadie & Guido W. Imbens
Estimating Outcome Distributions for Compliers in Instrumental Variables Models by Guido W. Imbens & Donald B. Rubin
The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish by Joshua D. Angrist & Kathryn Graddy & Guido W. Imbens
Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis by Nikolay Doudchenko & Guido W. Imbens
External Validity in Fuzzy Regression Discontinuity Designs by BERTANHA, Marinho & IMBENS, Guido W.
Matching on the Estimated Propensity Score by Alberto Abadie & Guido W. Imbens
Robust Standard Errors in Small Samples: Some Practical Advice by Guido W. Imbens & Michal Kolesár
Identification and Inference With Many Invalid Instruments by Michal Kolesár & Raj Chetty & John Friedman & Edward Glaeser & Guido W. Imbens
Identification and Inference With Many Invalid Instruments by Kolesar, Michal & Chetty, Raj & Friedman, John & Glaeser, Edward Ludwig & Imbens, Guido
Identification and efficiency bounds for the average match function under conditionally exogenous matching by Bryan S. Graham & Guido Imbens & Geert Ridder
Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing by Athey, Susan & Imbens, Guido W. & Wager, Stefan
The State of Applied Econometrics: Causality and Policy Evaluation by Susan Athey & Guido W. Imbens
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges by Susan Athey & Guido Imbens & Thai Pham & Stefan Wager
Redefine Statistical Significance by 72 authors Daniel Benjamin & James Berger & Magnus Johannesson & Brian Nosek & E. Wagenmakers & Richard Berk & Kenneth Bollen & Bjorn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Christopher Chambers & Merlise Clyde & Thomas Cook & Paul De Boeck & Zoltan Dienes & Anna Dreber & Kenny Easwaran & Charles Efferson & Ernst Fehr & Fiona Fidler & Andy Field & Malcom Forster & Edward George & Tarun Ramadorai & Richard Gonzalez & Steven Goodman & Edwin Green & Donald Green & Anthony Greenwald & Jarrod Hadfield & Larry Hedges & Leonhard Held & Teck Hau Ho & Herbert Hoijtink & James Jones & Daniel Hruschka & Kosuke Imai & Guido Imbens & John Ioannidis & Minjeong Jeon & Michael Kirchler & David Laibson & John List & Roderick Little & Arthur Lupia & Edouard Machery & Scott Maxwell & Michael McCarthy & Don Moore & Stephen Morgan & Marcus Munafo & Shinichi Nakagawa & Brendan Nyhan & Timothy Parker & Luis Pericchi & Marco Perugini & Jeff Rouder & Judith Rousseau & Victoria Savalei & Felix Schonbrodt & Thomas Sellke & Betsy Sinclair & Dustin Tingley & Trisha Zandt & Simine Vazire & Duncan Watts & Christopher Winship & Robert Wolpert & Yu Xie & Cristobal Young & Jonathan Zinman & Valen Johnson
When Should You Adjust Standard Errors for Clustering? by Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge
The Role of the Propensity Score in Fixed Effect Models by Dmitry Arkhangelsky & Guido Imbens
A Causal Bootstrap by Guido Imbens & Konrad Menzel
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption by Susan Athey & Guido W. Imbens
Matrix Completion Methods for Causal Panel Data Models by Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi
Synthetic Difference In Differences by Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager
Ensemble Methods for Causal Effects in Panel Data Settings by Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics by Guido Imbens
The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely by Susan Athey & Raj Chetty & Guido W. Imbens & Hyunseung Kang
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations by Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations by Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro
Matrix Completion Methods for Causal Panel Data Models by Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi
The State of Applied Econometrics - Causality and Policy Evaluation by Susan Athey & Guido Imbens
The Role of the Propensity Score in Fixed Effect Models by Dmitry Arkhangelsky & Guido W. Imbens
When Should You Adjust Standard Errors for Clustering? by Alberto Abadie & Susan Athey & Guido Imbens & Jeffrey Wooldridge
Optimized Regression Discontinuity Designs by Guido Imbens & Stefan Wager
Discrete Choice Models with Multiple Unobserved Choice Characteristics by Susan Athey & Guido Imbens
Machine Learning Methods Economists Should Know About by Susan Athey & Guido Imbens
Recursive Partitioning for Heterogeneous Causal Effects by Susan Athey & Guido Imbens
Synthetic Difference in Differences by Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager
Optimal Experimental Design for Staggered Rollouts by Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens
The Role of the Propensity Score in Fixed Effect Models by Dmitry Arkhangelsky & Guido Imbens
Ensemble Methods for Causal Effects in Panel Data Settings by Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu
The Econometrics of Randomized Experiments by Susan Athey & Guido Imbens
The Long-Term Gains from GAIN A Re-Analysis of the Impacts of the California GAIN Program by V. Joseph Hotz & Guido Imbens & Jacob Alex Klerman
The Analysis of Randomized Experiments with Missing Data by Imbens, Guido W. & Pizer, William A.
Estimation Considerations in Contextual Bandits by Maria Dimakopoulou & Zhengyuan Zhou & Susan Athey & Guido Imbens
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs by Andrew Gelman & Guido Imbens
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges by Susan Athey & Guido Imbens & Thai Pham & Stefan Wager
Machine Learning for Estimating Heterogeneous Causal Effects by Athey, Susan & Imbens, Guido W.
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index by Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang
Ensemble Methods for Causal Effects in Panel Data Settings by Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption by Susan Athey & Guido Imbens
Exact p-Values for Network Interference by Susan Athey & Dean Eckles & Guido W. Imbens
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions by Susan Athey & Guido W. Imbens & Stefan Wager
Optimal Experimental Design for Staggered Rollouts by Athey, Susan & Imbens, Guido W. & Bayati, Mohsen
Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei by Susan Athey & Guido W. Imbens & Michael Pollmann
Approximate residual balancing: debiased inference of average treatment effects in high dimensions by Susan Athey & Guido W. Imbens & Stefan Wager
Sampling-based vs. Design-based Uncertainty in Regression Analysis by Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge
Machine Learning Methods Economists Should Know About by Athey, Susan & Imbens, Guido W.
Double-Robust Identification for Causal Panel Data Models by Dmitry Arkhangelsky & Guido W. Imbens
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis by Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge
Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments by Yang, Shu & Imbens, Guido W. & Cui, Zhanglin & Faries, Douglas E. & Kadziola, Zbigniew
Propensity score matching and subclassification in observational studies with multi‐level treatments by Shu Yang & Guido W. Imbens & Zhanglin Cui & Douglas E. Faries & Zbigniew Kadziola
Sampling-Based vs. Design-Based Uncertainty in Regression Analysis by Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey M.
When Should You Adjust Standard Errors for Clustering? by Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption by Athey, Susan & Imbens, Guido W.
Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton by Imbens, Guido W.
Exact P-Values for Network Interference by Athey, Susan & Eckles, Dean & Imbens, Guido W.
Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes by Susan Athey & Raj Chetty & Guido Imbens
Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching by Bryan S. Graham & Guido W. Imbens & Geert Ridder
External Validity in Fuzzy Regression Discontinuity Designs by Marinho Bertanha & Guido W. Imbens
Double-Robust Identification for Causal Panel Data Models by Dmitry Arkhangelsky & Guido W. Imbens