Guido W. Imbens

Stanford Graduate School of Business

Professor of Economics

655 Knight Way

Stanford, CA 94305-5015

United States

  • Stanford Graduate School of Business

SCHOLARLY PAPERS

72

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Scholarly Papers (72)

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1.

Matching Methods in Practice: Three Examples

Downloads 896 ( 39,292)
Citation 79

Matching Methods in Practice: Three Examples

IZA Discussion Paper No. 8049
Number of pages: 67 Posted: 29 Mar 2014
Guido W. Imbens
Stanford Graduate School of Business
Downloads 802 (45,018)
Citation 30

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matching methods, propensity score methods, causality, unconfoundedness, potential outcomes, selection on observables

Matching Methods in Practice: Three Examples

NBER Working Paper No. w19959
Number of pages: 66 Posted: 10 Mar 2014 Last Revised: 16 Jul 2022
Guido W. Imbens
Stanford Graduate School of Business
Downloads 94 (396,651)
Citation 1

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2.

Recent Developments in the Econometrics of Program Evaluation

Downloads 840 ( 42,924)
Citation 177

Recent Developments in the Econometrics of Program Evaluation

IZA Discussion Paper No. 3640
Number of pages: 94 Posted: 18 Aug 2008
Guido W. Imbens and Jeffrey M. Wooldridge
Stanford Graduate School of Business and Michigan State University - Department of Economics
Downloads 642 (60,460)
Citation 180

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program evaluation, causality, unconfoundedness, Rubin Causal Model, potential outcomes, instrumental variables

Recent Developments in the Econometrics of Program Evaluation

NBER Working Paper No. w14251
Number of pages: 93 Posted: 18 Aug 2008 Last Revised: 11 Jun 2022
Guido W. Imbens and Jeffrey M. Wooldridge
Stanford Graduate School of Business and Michigan State University - Department of Economics
Downloads 198 (222,487)

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3.

Simple and Bias-Corrected Matching Estimators for Average Treatment Effects

Number of pages: 57 Posted: 14 Jan 2003
Alberto Abadie and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS) and Stanford Graduate School of Business
Downloads 548 (74,806)
Citation 8

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matching, average treatment effect, program evaluation, selection-on-observables

4.

Optimal Experimental Design for Staggered Rollouts

Number of pages: 72 Posted: 20 Nov 2019 Last Revised: 10 Jan 2022
Ruoxuan Xiong, Susan Athey, Mohsen Bayati and Guido W. Imbens
Stanford University, Stanford Graduate School of Business, Stanford Graduate School of Business and Stanford Graduate School of Business
Downloads 463 (91,815)
Citation 4

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Sequential Experiments, Treatment Effect Estimation, Carryover Effects, Panel Data, Dynamic programming

5.

Challenges in Econometrics

American Economic Association, Ten Years and Beyond: Economists Answer NSF's Call for Long-Term Research Agendas
Number of pages: 6 Posted: 12 Aug 2011
Guido W. Imbens
Stanford Graduate School of Business
Downloads 407 (106,608)
Citation 1

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6.

Mean-Square-Error Calculations for Average Treatment Effects

IEPR Working Paper No. 05.34
Number of pages: 51 Posted: 05 Oct 2005
Guido W. Imbens, Whitney K. Newey and Geert Ridder
Stanford Graduate School of Business, Massachusetts Institute of Technology (MIT) - Department of Economics and University of Southern California
Downloads 405 (107,249)
Citation 19

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Nonparametric Estimation, Imputation, Mean Squared Error, Order Selection

7.

Identification and Inference in Nonlinear Difference-in-Differences Models

Downloads 343 (129,218)
Citation 144

Identification and Inference in Nonlinear Difference-in-Differences Models

Number of pages: 60 Posted: 03 Jun 2002
Susan Athey and Guido W. Imbens
Stanford Graduate School of Business and Stanford Graduate School of Business
Downloads 265 (168,193)

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Difference-In-Differences, Identification, Nonlinear models, Nonparametric Estimation

Identification and Inference in Nonlinear Difference-in-Differences Models

NBER Working Paper No. t0280
Number of pages: 63 Posted: 15 Sep 2002 Last Revised: 09 Oct 2022
Susan Athey and Guido W. Imbens
Stanford Graduate School of Business and Stanford Graduate School of Business
Downloads 78 (444,859)
Citation 59

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8.

Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

Downloads 330 (134,683)
Citation 150

Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

Number of pages: 41 Posted: 24 Aug 2002
Keisuke Hirano, Guido W. Imbens and Geert Ridder
Pennsylvania State University, College of the Liberal Arts - Department of Economic, Stanford Graduate School of Business and University of Southern California
Downloads 246 (181,091)
Citation 150

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Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

NBER Working Paper No. t0251
Number of pages: 49 Posted: 16 May 2000 Last Revised: 10 Sep 2022
Keisuke Hirano, Guido W. Imbens and Geert Ridder
Pennsylvania State University, College of the Liberal Arts - Department of Economic, Stanford Graduate School of Business and University of Southern California
Downloads 84 (425,774)
Citation 15

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9.

Regression Discontinuity Designs: A Guide to Practice

Downloads 271 (165,139)
Citation 667

Regression Discontinuity Designs: A Guide to Practice

NBER Working Paper No. t0337
Number of pages: 37 Posted: 18 Apr 2007 Last Revised: 05 Jun 2022
Guido W. Imbens and Thomas Lemieux
Stanford Graduate School of Business and University of British Columbia (UBC) - Department of Economics
Downloads 177 (245,635)
Citation 26

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Regression Discontinuity Designs: A Guide to Practice

NBER Working Paper No. w13039
Number of pages: 37 Posted: 17 Feb 2012 Last Revised: 19 Aug 2022
Guido W. Imbens and Thomas Lemieux
Stanford Graduate School of Business and University of British Columbia (UBC) - Department of Economics
Downloads 94 (396,651)
Citation 279

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10.

Identification of Causal Effects Using Instrumental Variables

NBER Working Paper No. t0136
Number of pages: 40 Posted: 26 May 2004 Last Revised: 17 Nov 2022
Joshua D. Angrist, Guido W. Imbens and Donald B. Rubin
Massachusetts Institute of Technology (MIT) - Department of Economics, Stanford Graduate School of Business and Harvard University - Department of Statistics
Downloads 233 (191,438)
Citation 74

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11.

Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings

Downloads 232 (192,256)

Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings

Number of pages: 37 Posted: 01 Dec 1999
Alberto Abadie, Joshua D. Angrist and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS), Massachusetts Institute of Technology (MIT) - Department of Economics and Stanford Graduate School of Business
Downloads 232 (191,780)
Citation 39

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Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings

Posted: 23 Sep 2002
Alberto Abadie, Joshua D. Angrist and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS), Massachusetts Institute of Technology (MIT) - Department of Economics and Stanford Graduate School of Business

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12.

Instrumental Variables: An Econometrician's Perspective

Downloads 223 (199,572)
Citation 12

Instrumental Variables: An Econometrician's Perspective

NBER Working Paper No. w19983
Number of pages: 74 Posted: 19 Mar 2014 Last Revised: 08 Aug 2022
Guido W. Imbens
Stanford Graduate School of Business
Downloads 146 (288,696)

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Instrumental Variables: An Econometrician's Perspective

IZA Discussion Paper No. 8048
Number of pages: 75 Posted: 29 Mar 2014
Guido W. Imbens
Stanford Graduate School of Business
Downloads 77 (448,247)
Citation 7

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simultaneous equations models, randomized experiments, potential outcomes, noncompliance, selection models, instrumental variables

13.

Identification and Estimation of Local Average Treatment Effects

NBER Working Paper No. t0118
Number of pages: 28 Posted: 27 Jun 2007 Last Revised: 30 Oct 2022
Joshua D. Angrist and Guido W. Imbens
Massachusetts Institute of Technology (MIT) - Department of Economics and Stanford Graduate School of Business
Downloads 199 (221,689)
Citation 64

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14.

Nonparametric Tests for Treatment Effect Heterogeneity

Downloads 188 (233,006)
Citation 25

Nonparametric Tests for Treatment Effect Heterogeneity

IZA Discussion Paper No. 2091
Number of pages: 34 Posted: 25 Apr 2006
Richard K. Crump, V. Joseph Hotz, Guido W. Imbens and Oscar A. Mitnik
Federal Reserve Banks - Federal Reserve Bank of New York, Duke University, Stanford Graduate School of Business and Inter-American Development Bank
Downloads 103 (373,516)
Citation 2

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average treatment effects, causality, unconfoundedness, treatment effect

Nonparametric Tests for Treatment Effect Heterogeneity

NBER Working Paper No. t0324
Number of pages: 45 Posted: 29 Jun 2006 Last Revised: 21 Nov 2022
Richard K. Crump, V. Joseph Hotz, Guido W. Imbens and Oscar A. Mitnik
Federal Reserve Banks - Federal Reserve Bank of New York, Duke University, Stanford Graduate School of Business and Inter-American Development Bank
Downloads 85 (422,763)
Citation 2

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15.

Optimal Bandwidth Choice for the Regression Discontinuity Estimator

Downloads 184 (237,470)
Citation 434

Optimal Bandwidth Choice for the Regression Discontinuity Estimator

IZA Discussion Paper No. 3995
Number of pages: 29 Posted: 02 Mar 2009
Guido W. Imbens and Karthik Kalyanaraman
Stanford Graduate School of Business and Harvard University
Downloads 125 (325,615)
Citation 108

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optimal bandwidth selection, local linear regression, regression discontinuity designs

Optimal Bandwidth Choice for the Regression Discontinuity Estimator

NBER Working Paper No. w14726
Number of pages: 28 Posted: 17 Feb 2009 Last Revised: 28 Sep 2022
Guido W. Imbens and Karthik Kalyanaramang
Stanford Graduate School of Business and Harvard University - Department of Economics
Downloads 59 (516,693)

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16.

The Role of the Propensity Score in Estimating Dose-Response Functions

NBER Working Paper No. t0237
Number of pages: 22 Posted: 11 Jun 2000 Last Revised: 27 Aug 2022
Guido W. Imbens
Stanford Graduate School of Business
Downloads 177 (245,523)
Citation 32

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17.

Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players

NBER Working Paper No. w7001
Number of pages: 60 Posted: 07 Jul 1999 Last Revised: 20 Aug 2022
Guido W. Imbens, Donald B. Rubin and Bruce Sacerdote
Stanford Graduate School of Business, Harvard University - Department of Statistics and Dartmouth College - Department of Economics
Downloads 171 (252,774)
Citation 25

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18.

When Should You Adjust Standard Errors for Clustering?

NBER Working Paper No. w24003
Number of pages: 30 Posted: 13 Nov 2017 Last Revised: 03 Aug 2022
Alberto Abadie, Susan Athey, Guido W. Imbens and Jeffrey M. Wooldridge
Harvard University - Harvard Kennedy School (HKS), Stanford Graduate School of Business, Stanford Graduate School of Business and Michigan State University - Department of Economics
Downloads 165 (260,572)
Citation 44

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19.

Robust Standard Errors in Small Samples: Some Practical Advice

NBER Working Paper No. w18478
Number of pages: 30 Posted: 20 Oct 2012 Last Revised: 29 Jun 2022
Guido W. Imbens and Michal Kolesár
Stanford Graduate School of Business and Princeton University
Downloads 157 (271,468)
Citation 8

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20.

Mean-Squared-Error Calculations for Average Treatment Effects

Number of pages: 50 Posted: 04 Jan 2007
Guido W. Imbens, Whitney K. Newey and Geert Ridder
Stanford Graduate School of Business, Massachusetts Institute of Technology (MIT) - Department of Economics and University of Southern California
Downloads 153 (277,134)
Citation 20

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Nonparametric Estimation, Imputation, Mean Squared Error, Order Selection

21.

Better Late than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)

NBER Working Paper No. w14896
Number of pages: 32 Posted: 20 Apr 2009 Last Revised: 15 Sep 2022
Guido W. Imbens
Stanford Graduate School of Business
Downloads 139 (299,266)
Citation 11

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22.

Synthetic Difference in Differences

NBER Working Paper No. w25532
Number of pages: 70 Posted: 12 Feb 2019 Last Revised: 07 Oct 2022
Dmitry Arkhangelsky, Susan Athey, David Hirshberg, Guido W. Imbens and Stefan Wager
Centre for Monetary and Financial Studies (CEMFI), Stanford Graduate School of Business, Stanford University, Stanford Graduate School of Business and Stanford University - Department of Statistics
Downloads 138 (300,964)
Citation 8

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23.

Average Causal Response with Variable Treatment Intensity

NBER Working Paper No. t0127
Number of pages: 40 Posted: 29 Dec 2006 Last Revised: 07 Nov 2022
Joshua D. Angrist and Guido W. Imbens
Massachusetts Institute of Technology (MIT) - Department of Economics and Stanford Graduate School of Business
Downloads 114 (346,221)

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24.

Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand

IZA Discussion Paper No. 2347
Number of pages: 49 Posted: 01 Nov 2006
Richard K. Crump, V. Joseph Hotz, Guido W. Imbens and Oscar A. Mitnik
Federal Reserve Banks - Federal Reserve Bank of New York, Duke University, Stanford Graduate School of Business and Inter-American Development Bank
Downloads 109 (357,108)
Citation 25

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average treatment effects, causality, unconfoundedness, overlap, treatment effect heterogeneity

25.

Jackknife Instrumental Variables Estimation

NBER Working Paper No. t0172
Number of pages: 29 Posted: 14 Jul 2000 Last Revised: 23 Jun 2022
Joshua D. Angrist, Guido W. Imbens and Alan B. Krueger
Massachusetts Institute of Technology (MIT) - Department of Economics, Stanford Graduate School of Business and Princeton University - Industrial Relations Section
Downloads 109 (357,108)
Citation 10

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26.

Matching on the Estimated Propensity Score

NBER Working Paper No. w15301
Number of pages: 22 Posted: 31 Aug 2009 Last Revised: 24 Apr 2022
Alberto Abadie and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS) and Stanford Graduate School of Business
Downloads 104 (368,545)
Citation 25

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27.

Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity

NBER Working Paper No. t0285
Number of pages: 44 Posted: 21 Nov 2002 Last Revised: 14 Oct 2022
Guido W. Imbens and Whitney K. Newey
Stanford Graduate School of Business and Massachusetts Institute of Technology (MIT) - Department of Economics
Downloads 104 (368,545)
Citation 22

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28.

On the Failure of the Bootstrap for Matching Estimators

NBER Working Paper No. t0325
Number of pages: 39 Posted: 29 Jun 2006 Last Revised: 23 Nov 2022
Alberto Abadie and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS) and Stanford Graduate School of Business
Downloads 103 (370,927)
Citation 24

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29.

Simple and Bias-Corrected Matching Estimators for Average Treatment Effects

NBER Working Paper No. t0283
Number of pages: 57 Posted: 30 Dec 2002 Last Revised: 12 Oct 2022
Alberto Abadie and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS) and Stanford Graduate School of Business
Downloads 102 (373,322)
Citation 50

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30.

Balancing, Regression, Difference-in-Differences and Synthetic Control Methods: A Synthesis

NBER Working Paper No. w22791
Number of pages: 35 Posted: 31 Oct 2016 Last Revised: 10 Oct 2022
Nikolay Doudchenko and Guido W. Imbens
Stanford University and Stanford Graduate School of Business
Downloads 99 (380,762)
Citation 8

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31.

Re-Employment Probabilities Over the Business Cycle

Downloads 95 (390,777)
Citation 1

Re-Employment Probabilities Over the Business Cycle

IZA Discussion Paper No. 2167
Number of pages: 45 Posted: 26 Jun 2006
Guido W. Imbens and Lisa M. Lynch
Stanford Graduate School of Business and Tufts University - The Fletcher School of Law and Diplomacy
Downloads 74 (458,450)
Citation 1

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unemployment, duration dependence, business cycle

Re-Employment Probabilities Over the Business Cycle

NBER Working Paper No. w4585
Number of pages: 46 Posted: 11 Jul 2007 Last Revised: 14 Jul 2022
Guido W. Imbens and Lisa M. Lynch
Stanford Graduate School of Business and Tufts University - The Fletcher School of Law and Diplomacy
Downloads 21 (750,468)

Abstract:

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32.

Instrumental Variables Estimation of Quantile Treatment Effects

NBER Working Paper No. t0229
Number of pages: 31 Posted: 15 Sep 2000 Last Revised: 19 Aug 2022
Alberto Abadie, Joshua D. Angrist and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS), Massachusetts Institute of Technology (MIT) - Department of Economics and Stanford Graduate School of Business
Downloads 91 (401,528)

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33.

A Martingale Representation for Matching Estimators

Downloads 89 (407,071)
Citation 3

A Martingale Representation for Matching Estimators

NBER Working Paper No. w14756
Number of pages: 27 Posted: 26 Feb 2009 Last Revised: 29 Oct 2022
Alberto Abadie and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS) and Stanford Graduate School of Business
Downloads 48 (568,066)

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A Martingale Representation for Matching Estimators

IZA Discussion Paper No. 4073
Number of pages: 14 Posted: 30 Mar 2009
Alberto Abadie and Guido W. Imbens
Harvard University - Harvard Kennedy School (HKS) and Stanford Graduate School of Business
Downloads 41 (605,956)

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matching, martingales, treatment effects, hot-deck imputation

34.

Sources of Identifying Information in Evaluation Models

NBER Working Paper No. t0117
Number of pages: 34 Posted: 26 Dec 2000 Last Revised: 29 Oct 2022
Joshua D. Angrist and Guido W. Imbens
Massachusetts Institute of Technology (MIT) - Department of Economics and Stanford Graduate School of Business
Downloads 77 (443,351)

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35.

Design-Based Analysis in Difference-in-Differences Settings with Staggered Adoption

NBER Working Paper No. w24963
Number of pages: 38 Posted: 17 Sep 2018 Last Revised: 17 Sep 2022
Susan Athey and Guido W. Imbens
Stanford Graduate School of Business and Stanford Graduate School of Business
Downloads 76 (446,582)
Citation 21

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36.

An Empirical Model for Strategic Network Formation

NBER Working Paper No. w16039
Number of pages: 32 Posted: 04 Jun 2010 Last Revised: 30 Oct 2022
Nicholas A. Christakis, James H. Fowler, James H. Fowler, Guido W. Imbens and Karthik Kalyanaraman
Yale University, Law School, Students, UC San Diego Division of Social SciencesUniversity of California, San Diego (UCSD) - Division of Infectious Diseases and Global Public Health, Stanford Graduate School of Business and Harvard University
Downloads 76 (446,582)
Citation 2

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37.

Hierarchical Bayes Models with Many Instrumental Variables

NBER Working Paper No. t0204
Number of pages: 28 Posted: 05 Sep 2000 Last Revised: 23 Jan 2022
Gary Chamberlain and Guido W. Imbens
Harvard University - Department of Economics and Stanford Graduate School of Business
Downloads 68 (474,185)

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38.

Redistributive Effects for Discretely-Valued Inputs

IEPR Working Paper No. 07.7
Number of pages: 32 Posted: 15 Aug 2007
Bryan S. Graham, Guido W. Imbens and Geert Ridder
University of California, Berkeley - Department of Economics, Stanford Graduate School of Business and University of Southern California
Downloads 67 (477,721)
Citation 2

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Treatment Effects, Complementarity, Resource Allocation

39.

Non-Parametric Demand Analysis with an Application to the Demand for Fish

NBER Working Paper No. t0178
Number of pages: 49 Posted: 20 May 2005 Last Revised: 29 Jun 2022
Joshua D. Angrist, Kathryn Graddy and Guido W. Imbens
Massachusetts Institute of Technology (MIT) - Department of Economics, Brandeis University - Department of Economics and Stanford Graduate School of Business
Downloads 63 (493,126)

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40.

The Long-Term Gains from Gain: A Re-Analysis of the Impacts of the California Gain Program

NBER Working Paper No. w8007
Number of pages: 65 Posted: 17 Nov 2000 Last Revised: 19 Nov 2022
V. Joseph Hotz, Guido W. Imbens and Jacob Alex Klerman
Duke University, Stanford Graduate School of Business and The RAND Corporation
Downloads 61 (500,918)

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41.

Why Ask Why? Forward Causal Inference and Reverse Causal Questions

NBER Working Paper No. w19614
Number of pages: 9 Posted: 09 Nov 2013 Last Revised: 06 Aug 2022
Andrew Gelman and Guido W. Imbens
Columbia University - Department of Statistics and Department of Political Science and Stanford Graduate School of Business
Downloads 59 (508,914)
Citation 2

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42.

Identification and Inference with Many Invalid Instruments

NBER Working Paper No. w17519
Number of pages: 44 Posted: 22 Oct 2011 Last Revised: 14 Nov 2022
Michal Kolesár, Raj Chetty, John Friedman, John N. Friedman, John N. Friedman, Edward L. Glaeser and Guido W. Imbens
Princeton University, Harvard University, Brown University, National Bureau of Economic Research (NBER)Harvard University - Harvard Kennedy School (HKS), Harvard University - Department of Economics and Stanford Graduate School of Business
Downloads 56 (521,532)
Citation 15

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43.

Combining Panel Data Sets with Attrition and Refreshment Samples

NBER Working Paper No. t0230
Number of pages: 41 Posted: 25 Jul 2000 Last Revised: 20 Aug 2022
Keisuke Hirano, Guido W. Imbens, Geert Ridder and Donald B. Rubin
Pennsylvania State University, College of the Liberal Arts - Department of Economic, Stanford Graduate School of Business, University of Southern California and Harvard University - Department of Statistics
Downloads 56 (521,532)

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44.

Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics

NBER Working Paper No. w26104
Number of pages: 74 Posted: 02 Aug 2019 Last Revised: 30 Oct 2022
Guido W. Imbens
Stanford Graduate School of Business
Downloads 54 (530,044)
Citation 3

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45.

Finite Population Causal Standard Errors

NBER Working Paper No. w20325
Number of pages: 55 Posted: 28 Jul 2014 Last Revised: 16 Jul 2022
Alberto Abadie, Susan Athey, Guido W. Imbens and Jeffrey M. Wooldridge
Harvard University - Harvard Kennedy School (HKS), Stanford Graduate School of Business, Stanford Graduate School of Business and Michigan State University - Department of Economics
Downloads 54 (530,044)

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46.

Information Theoretic Approaches to Inference in Moment Condition Models

NBER Working Paper No. t0186
Number of pages: 35 Posted: 13 Sep 2000 Last Revised: 07 Jul 2022
Guido W. Imbens, Richard H. Spady and Phillip Johnson
Stanford Graduate School of Business, European University Institute - Economics Department (ECO) and Harvard University - Department of Economics
Downloads 51 (543,463)
Citation 1

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47.

Nonparametric Applications of Bayesian Inference

NBER Working Paper No. t0200
Number of pages: 24 Posted: 20 Jul 2000 Last Revised: 21 Jul 2022
Gary Chamberlain and Guido W. Imbens
Harvard University - Department of Economics and Stanford Graduate School of Business
Downloads 51 (543,463)
Citation 1

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48.

Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs

NBER Working Paper No. w20405
Number of pages: 14 Posted: 25 Aug 2014 Last Revised: 03 Oct 2022
Andrew Gelman and Guido W. Imbens
Columbia University - Department of Statistics and Department of Political Science and Stanford Graduate School of Business
Downloads 48 (557,486)
Citation 173

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49.

Imposing Moment Restrictions from Auxiliary Data by Weighting

NBER Working Paper No. t0202
Number of pages: 35 Posted: 10 Sep 2000 Last Revised: 23 Jul 2022
Guido W. Imbens and Judith K. Hellerstein
Stanford Graduate School of Business and University of Maryland - Department of Economics
Downloads 47 (562,226)

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50.

A Causal Bootstrap

NBER Working Paper No. w24833
Number of pages: 28 Posted: 16 Jul 2018 Last Revised: 09 Nov 2022
Guido W. Imbens and Konrad Menzel
Stanford Graduate School of Business and New York University (NYU)
Downloads 45 (572,126)
Citation 1

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51.

Clustering, Spatial Correlations and Randomization Inference

NBER Working Paper No. w15760
Number of pages: 35 Posted: 22 Feb 2010 Last Revised: 25 Jul 2022
Thomas Barrios, Rebecca Diamond, Guido W. Imbens and Michal Kolesár
affiliation not provided to SSRN, Stanford Graduate School of Business, Stanford Graduate School of Business and Princeton University
Downloads 42 (587,805)
Citation 10

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52.

Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand

NBER Working Paper No. t0330
Number of pages: 48 Posted: 20 Oct 2006 Last Revised: 29 May 2022
Richard K. Crump, V. Joseph Hotz, Guido W. Imbens and Oscar A. Mitnik
Federal Reserve Banks - Federal Reserve Bank of New York, Duke University, Stanford Graduate School of Business and Inter-American Development Bank
Downloads 40 (598,700)

Abstract:

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53.

Bias from Classical and Other Forms of Measurement Error

Downloads 40 (598,700)

Bias from Classical and Other Forms of Measurement Error

NBER Working Paper No. t0257
Number of pages: 18 Posted: 13 Aug 2000 Last Revised: 16 Sep 2022
Dean Hyslop and Guido W. Imbens
Motu Economic and Public Policy Research and Stanford Graduate School of Business
Downloads 40 (611,888)
Citation 1

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Bias from Classical and Other Forms of Measurement Error

Journal of Business and Economic Statistics, Vol. 19, No. 4, pp. 475-481, October 2001
Posted: 06 Jan 2010
Guido W. Imbens and Dean Hyslop
Stanford Graduate School of Business and Motu Economic and Public Policy Research

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Measurement Error, Predictions, Correlation, Linear regression

54.

Predicting the Efficacy of Future Training Programs Using Past Experiences

NBER Working Paper No. t0238
Number of pages: 53 Posted: 29 Feb 2000 Last Revised: 28 Aug 2022
V. Joseph Hotz, Guido W. Imbens and Julie H. Mortimer
Duke University, Stanford Graduate School of Business and Boston College
Downloads 38 (609,847)
Citation 7

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55.

Robust Inference for Misspecified Models Conditional on Covariates

NBER Working Paper No. w17442
Number of pages: 25 Posted: 23 Sep 2011 Last Revised: 29 Aug 2022
Alberto Abadie, Guido W. Imbens and Fanyin Zheng
Harvard University - Harvard Kennedy School (HKS), Stanford Graduate School of Business and affiliation not provided to SSRN
Downloads 34 (633,144)

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56.

External Validity in Fuzzy Regression Discontinuity Designs

NBER Working Paper No. w20773
Number of pages: 30 Posted: 22 Dec 2014 Last Revised: 06 Oct 2022
Marinho Bertanha and Guido W. Imbens
University of Notre Dame - Department of Economics and Stanford Graduate School of Business
Downloads 32 (645,663)
Citation 8

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57.

Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review

NBER Working Paper No. t0294
Number of pages: 49 Posted: 25 Apr 2011 Last Revised: 26 Oct 2022
Guido W. Imbens
Stanford Graduate School of Business
Downloads 32 (645,663)
Citation 55

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58.

Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching

Downloads 31 (652,287)
Citation 5

Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching

USC-INET Research Paper No. 16-12
Number of pages: 33 Posted: 24 Mar 2016
Bryan S. Graham, Guido W. Imbens and Geert Ridder
University of California, Berkeley - Department of Economics, Stanford Graduate School of Business and University of Southern California
Downloads 22 (741,770)

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Matching, Average Match Function, Semiparametric Efficiency, Choo-Siow Model, Causal Inference

Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching

NBER Working Paper No. w22098
Number of pages: 33 Posted: 21 Mar 2016 Last Revised: 19 Nov 2022
Bryan S. Graham, Guido W. Imbens and Geert Ridder
University of California, Berkeley - Department of Economics, Stanford Graduate School of Business and University of Southern California
Downloads 9 (872,194)
Citation 7

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59.

Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California Gain Program

NBER Working Paper No. w11939
Number of pages: 54 Posted: 13 Apr 2006 Last Revised: 17 Aug 2022
V. Joseph Hotz, Guido W. Imbens and Jacob Alex Klerman
Duke University, Stanford Graduate School of Business and The RAND Corporation
Downloads 29 (665,908)
Citation 3

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60.

Ensemble Methods for Causal Effects in Panel Data Settings

NBER Working Paper No. w25675
Number of pages: 13 Posted: 26 Mar 2019 Last Revised: 28 Aug 2022
Susan Athey, Mohsen Bayati, Guido W. Imbens and Zhaonan Qu
Stanford Graduate School of Business, Stanford Graduate School of Business, Stanford Graduate School of Business and Stanford University
Downloads 28 (672,975)
Citation 7

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61.

Matrix Completion Methods for Causal Panel Data Models

NBER Working Paper No. w25132
Number of pages: 50 Posted: 08 Oct 2018 Last Revised: 03 Sep 2022
Susan Athey, Mohsen Bayati, Nikolay Doudchenko, Guido W. Imbens and Khashayar Khosravi
Stanford Graduate School of Business, Stanford Graduate School of Business, Stanford University, Stanford Graduate School of Business and Stanford University
Downloads 27 (680,149)
Citation 8

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62.

Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations

NBER Working Paper No. w26566
Number of pages: 37 Posted: 24 Dec 2019 Last Revised: 04 Aug 2022
Susan Athey, Guido W. Imbens, Jonas Metzger and Evan Munro
Stanford Graduate School of Business, Stanford Graduate School of Business, Stanford University and Stanford University
Downloads 26 (687,684)

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63.

The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely

NBER Working Paper No. w26463
Number of pages: 72 Posted: 18 Nov 2019 Last Revised: 26 Oct 2022
Susan Athey, Raj Chetty, Guido W. Imbens and Hyunseung Kang
Stanford Graduate School of Business, Harvard University, Stanford Graduate School of Business and University of Wisconsin - Madison - Department of Statistics
Downloads 25 (695,257)
Citation 2

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64.

Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach

NBER Working Paper No. w16499
Number of pages: 60 Posted: 01 Nov 2010 Last Revised: 01 Aug 2022
Bryan S. Graham, Guido W. Imbens and Geert Ridder
University of California, Berkeley - Department of Economics, Stanford Graduate School of Business and University of Southern California
Downloads 25 (695,257)
Citation 2

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65.

Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis

NBER Working Paper No. w14860
Number of pages: 84 Posted: 13 Apr 2009 Last Revised: 10 Aug 2022
Bryan S. Graham, Guido W. Imbens and Geert Ridder
University of California, Berkeley - Department of Economics, Stanford Graduate School of Business and University of Southern California
Downloads 24 (703,077)
Citation 7

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66.

The Role of the Propensity Score in Fixed Effect Models

NBER Working Paper No. w24814
Number of pages: 52 Posted: 16 Jul 2018 Last Revised: 26 Oct 2022
Dmitry Arkhangelsky and Guido W. Imbens
Centre for Monetary and Financial Studies (CEMFI) and Stanford Graduate School of Business
Downloads 21 (727,005)

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67.

Discrete Choice Models with Multiple Unobserved Choice Characteristics

International Economic Review, Vol. 48, Issue 4, pp. 1159-1192, November 2007
Number of pages: 34 Posted: 13 Dec 2007
Susan Athey and Guido W. Imbens
Stanford Graduate School of Business and Stanford Graduate School of Business
Downloads 20 (735,396)
Citation 2

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68.

Exact P-Values for Network Interference

NBER Working Paper No. w21313
Number of pages: 41 Posted: 06 Jul 2015 Last Revised: 26 Sep 2022
Susan Athey, Dean Eckles and Guido W. Imbens
Stanford Graduate School of Business, Massachusetts Institute of Technology, Sloan School of Management, Students and Stanford Graduate School of Business
Downloads 19 (743,942)
Citation 10

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69.

Double-Robust Identification for Causal Panel Data Models

NBER Working Paper No. w28364
Number of pages: 55 Posted: 27 Jan 2021 Last Revised: 07 Nov 2022
Dmitry Arkhangelsky and Guido W. Imbens
Centre for Monetary and Financial Studies (CEMFI) and Stanford Graduate School of Business
Downloads 11 (819,153)
Citation 1

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70.

Semiparametric Estimation of Treatment Effects in Randomized Experiments

NBER Working Paper No. w29242
Number of pages: 43 Posted: 13 Sep 2021 Last Revised: 26 Nov 2022
Susan Athey, Peter Bickel, Aiyou Chen, Guido W. Imbens and Michael Pollmann
Stanford Graduate School of Business, University of California, Berkeley, Google, Stanford Graduate School of Business and Stanford University
Downloads 6 (873,233)
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71.

Machine Learning Methods that Economists Should Know About

Annual Review of Economics, Vol. 11, pp. 685-725, 2019
Posted: 04 Sep 2019
Susan Athey and Guido W. Imbens
Stanford University and Stanford Graduate School of Business

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72.

The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish

Posted: 08 Nov 2000
Joshua D. Angrist, Kathryn Graddy and Guido W. Imbens
Massachusetts Institute of Technology (MIT) - Department of Economics, Brandeis University - Department of Economics and Stanford Graduate School of Business

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