guido imbens

guido imbens

Stanford University

H-index: 96

North America-United States

About guido imbens

guido imbens, With an exceptional h-index of 96 and a recent h-index of 77 (since 2020), a distinguished researcher at Stanford University, specializes in the field of causal inference, econometrics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Whitney Newey’s contributions to econometrics

Multiple Randomization Designs: Estimation and Inference with Interference

Causal Inference in the Social Sciences

Double and single descent in causal inference with an application to high-dimensional synthetic control

Efficient switchback experiments via multiple randomization designs

Estimating the Value of Evidence-Based Decision Making

Semi-parametric estimation of treatment effects in randomised experiments

THE ECONOMETRIC SOCIETY ANNUAL REPORTS REPORT OF THE EDITORS 2021-2022

guido imbens Information

University

Position

___

Citations(all)

99359

Citations(since 2020)

49170

Cited By

69367

hIndex(all)

96

hIndex(since 2020)

77

i10Index(all)

179

i10Index(since 2020)

142

Email

University Profile Page

Stanford University

Google Scholar

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guido imbens Skills & Research Interests

causal inference

econometrics

Top articles of guido imbens

Title

Journal

Author(s)

Publication Date

Whitney Newey’s contributions to econometrics

Alberto Abadie

Joshua Angrist

Guido Imbens

2024/2/6

Multiple Randomization Designs: Estimation and Inference with Interference

arXiv preprint arXiv:2401.01264

Lorenzo Masoero

Suhas Vijaykumar

Thomas Richardson

James McQueen

Ido Rosen

...

2024/1/2

Causal Inference in the Social Sciences

Guido W Imbens

2024/3

Double and single descent in causal inference with an application to high-dimensional synthetic control

Advances in Neural Information Processing Systems

Jann Spiess

Amar Venugopal

2024/2/13

Efficient switchback experiments via multiple randomization designs

Lorenzo Masoero

Guido Imbens

Thomas Richardson

James McQueen

Suhas Vijaykumar

...

2023

Estimating the Value of Evidence-Based Decision Making

arXiv preprint arXiv:2306.13681

Alberto Abadie

Anish Agarwal

Guido Imbens

Siwei Jia

James McQueen

...

2023/6/21

Semi-parametric estimation of treatment effects in randomised experiments

Journal of the Royal Statistical Society Series B: Statistical Methodology

Susan Athey

Peter J Bickel

Aiyou Chen

Guido W Imbens

Michael Pollmann

2023/11

THE ECONOMETRIC SOCIETY ANNUAL REPORTS REPORT OF THE EDITORS 2021-2022

Joel Sobel

Daron Acemoglu

Dirk Bergemann

Liran Einav

Itzhak Gilboa

...

2016/1/1

The et interview: Professor gary chamberlain

Econometric Theory

Bryan Graham

Keisuke Hirano

Guido Imbens

2023/2

Causal clustering: design of cluster experiments under network interference

arXiv preprint arXiv:2310.14983

Davide Viviano

Lihua Lei

Guido Imbens

Brian Karrer

Okke Schrijvers

...

2023/10/23

A New Look at P Values for Randomized Clinical Trials

NEJM evidence

Erik van Zwet

Andrew Gelman

Sander Greenland

Guido Imbens

Simon Schwab

...

2023/12/26

A design-based perspective on synthetic control methods

Journal of Business & Economic Statistics

Lea Bottmer

Guido W Imbens

Jann Spiess

Merrill Warnick

2023/9/20

When should you adjust standard errors for clustering?

The Quarterly Journal of Economics

Alberto Abadie

Susan Athey

Guido W Imbens

Jeffrey M Wooldridge

2023/2

Optimal experimental design for staggered rollouts

Management Science

Ruoxuan Xiong

Susan Athey

Mohsen Bayati

Guido Imbens

2023/12/14

Synthetic difference in differences estimation

arXiv preprint arXiv:2301.11859

Damian Clarke

Daniel Pailanir

Susan Athey

Guido Imbens

2023/1/27

Fixed Effects and the Generalized Mundlak Estimator

Review of Economic Studies

Dmitry Arkhangelsky

Guido W Imbens

2023/9/7

Causal models for longitudinal and panel data: A survey

Dmitry Arkhangelsky

Guido Imbens

2023/12/11

Improving precision in clustered experiments

Guido Imbens

Lorenzo Masoero

James McQueen

Thomas Richardson

Ido Rosen

...

2023

Experimental design in marketplaces

Statistical Science

Patrick Bajari

Brian Burdick

Guido W Imbens

Lorenzo Masoero

James McQueen

...

2023/8

Identification and inference for synthetic controls with confounding

arXiv preprint arXiv:2312.00955

Guido W Imbens

Davide Viviano

2023/12/1

See List of Professors in guido imbens University(Stanford University)

Co-Authors

H-index: 139
Donald B Rubin

Donald B Rubin

Temple University

H-index: 129
Andrew Gelman

Andrew Gelman

Columbia University in the City of New York

H-index: 119
Alan Krueger

Alan Krueger

Princeton University

H-index: 87
Josh Angrist

Josh Angrist

Massachusetts Institute of Technology

H-index: 77
Jeffrey M. Wooldridge

Jeffrey M. Wooldridge

Michigan State University

H-index: 75
Whitney Newey

Whitney Newey

Massachusetts Institute of Technology

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