Naoki Egami

About Naoki Egami

Naoki Egami, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Political Methodology, Causal Inference, External Validity, Network, Comparative Politics.

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

Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study

Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling

Elements of External Validity: Framework, Design, and Analysis

Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding

How to Make Causal Inferences Using Texts

Quantifying Robustness to External Validity Bias

Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution

Naoki Egami Information

University

Position

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Citations(all)

710

Citations(since 2020)

668

Cited By

190

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Naoki Egami Skills & Research Interests

Political Methodology

Causal Inference

External Validity

Network

Comparative Politics

Top articles of Naoki Egami

Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

2023/11/2

Naoki Egami
Naoki Egami

H-Index: 7

Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study

The Annals of Applied Statistics

2023/9

Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling

2023

Naoki Egami
Naoki Egami

H-Index: 7

Diana Da In Lee
Diana Da In Lee

H-Index: 1

Elements of External Validity: Framework, Design, and Analysis

American Political Science Review

2023

Naoki Egami
Naoki Egami

H-Index: 7

Erin Hartman
Erin Hartman

H-Index: 5

Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

2023

Naoki Egami
Naoki Egami

H-Index: 7

How to Make Causal Inferences Using Texts

Science Advances

2022/10/19

Naoki Egami
Naoki Egami

H-Index: 7

Justin Grimmer
Justin Grimmer

H-Index: 20

Quantifying Robustness to External Validity Bias

2022

Naoki Egami
Naoki Egami

H-Index: 7

Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution

Political Analysis

2022

Covariate Selection for Generalizing Experimental Results: Application to a Large‐Scale Development Program in Uganda

Journal of the Royal Statistical Society: Series A (Statistics in Society)

2021

Naoki Egami
Naoki Egami

H-Index: 7

Erin Hartman
Erin Hartman

H-Index: 5

Spillover Effects in the Presence of Unobserved Networks

Political Analysis

2021

Naoki Egami
Naoki Egami

H-Index: 7

Competing for Loyalists?: How Party Positioning Affects Populist Radical Right Voting

Comparative Political Studies

2021

Naoki Egami
Naoki Egami

H-Index: 7

Amaney Jamal
Amaney Jamal

H-Index: 27

Using Multiple Pre-treatment Periods to Improve Difference-in-Differences and Staggered Adoption Designs

Political Analysis

2020

Naoki Egami
Naoki Egami

H-Index: 7

Soichiro Yamauchi
Soichiro Yamauchi

H-Index: 2

See List of Professors in Naoki Egami University(Columbia University in the City of New York)

Co-Authors

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