Teppei Yamamoto

Teppei Yamamoto

Massachusetts Institute of Technology

H-index: 23

North America-United States

About Teppei Yamamoto

Teppei Yamamoto, With an exceptional h-index of 23 and a recent h-index of 20 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of political science, applied statistics, political methodology.

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

Priming bias versus post-treatment bias in experimental designs

Tracing causal paths from experimental and observational data

Using conjoint experiments to analyze election outcomes: The essential role of the average marginal component effect

Media Measurement Matters: Estimating the Persuasive Effects of Partisan Media with Survey and Behavioral Data

Package ‘cjoint’

Does conjoint analysis mitigate social desirability bias?

Beyond the breaking point? Survey satisficing in conjoint experiments

Publication biases in replication studies

Teppei Yamamoto Information

University

Position

Associate Professor of Political Science

Citations(all)

12519

Citations(since 2020)

9011

Cited By

6648

hIndex(all)

23

hIndex(since 2020)

20

i10Index(all)

30

i10Index(since 2020)

26

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Teppei Yamamoto Skills & Research Interests

political science

applied statistics

political methodology

Top articles of Teppei Yamamoto

Title

Journal

Author(s)

Publication Date

Priming bias versus post-treatment bias in experimental designs

arXiv preprint arXiv:2306.01211

Matthew Blackwell

Jacob R Brown

Sophie Hill

Kosuke Imai

Teppei Yamamoto

2023/6/2

Tracing causal paths from experimental and observational data

The Journal of Politics

Xiang Zhou

Teppei Yamamoto

2023/1/1

Using conjoint experiments to analyze election outcomes: The essential role of the average marginal component effect

Political Analysis

Kirk Bansak

Jens Hainmueller

Daniel J Hopkins

Teppei Yamamoto

2023/10

Media Measurement Matters: Estimating the Persuasive Effects of Partisan Media with Survey and Behavioral Data

The Journal of Politics

Chloe Wittenberg

Matthew A Baum

Adam J Berinsky

Justin de Benedictis-Kessner

Teppei Yamamoto

2023/10/1

Package ‘cjoint’

Soubhik Barari

Elissa Berwick

Jens Hainmueller

Daniel Hopkins

Sean Liu

...

2023/8/21

Does conjoint analysis mitigate social desirability bias?

Political Analysis

Yusaku Horiuchi

Zachary Markovich

Teppei Yamamoto

2021/9

Beyond the breaking point? Survey satisficing in conjoint experiments

Political Science Research and Methods

Kirk Bansak

Jens Hainmueller

Daniel J Hopkins

Teppei Yamamoto

2021/1

Publication biases in replication studies

Political Analysis

Adam J Berinsky

James N Druckman

Teppei Yamamoto

2021/7

Package ‘paths’

Minh Trinh

Teppei Yamamoto

Xiang Zhou

Maintainer Minh Trinh

2021/6/17

Conjoint survey experiments

Advances in experimental political science

Kirk Bansak

Jens Hainmueller

Daniel J Hopkins

Teppei Yamamoto

James N Druckman

...

2021/4/1

How Much Should You Trust Your Power Calculation Results? Power Analysis as an Estimation Problem

Unpublished Manuscript

Shiyao Liu

Teppei Yamamoto

2020/7/13

Dynamic persuasion: decay and accumulation of partisan media persuasion

Annual Meeting of the Southern Political Science Association, Jan

Zachary Markovich

Matthew A Baum

Adam J Berinsky

Justin de Benedictis-Kessner

Teppei Yamamoto

2020/1/22

Identifying voter preferences for politicians’ personal attributes: A conjoint experiment in Japan

Political Science Research and Methods

Yusaku Horiuchi

Daniel M Smith

Teppei Yamamoto

2020/1

See List of Professors in Teppei Yamamoto University(Massachusetts Institute of Technology)

Co-Authors

H-index: 76
James Druckman

James Druckman

North Western University

H-index: 64
Kosuke Imai

Kosuke Imai

Harvard University

H-index: 56
Jens Hainmueller

Jens Hainmueller

Stanford University

H-index: 55
Dustin Tingley

Dustin Tingley

Harvard University

H-index: 42
Adam J. Berinsky

Adam J. Berinsky

Massachusetts Institute of Technology

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