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Naoki Egami
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How to Make Causal Inferences Using Texts
N Egami, CJ Fong, J Grimmer, ME Roberts, BM Stewart
Science Advances 8 (42), eabg2652, 2022
2112022
Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
N Egami, K Imai
Journal of the American Statistical Association 114 (526), 529 - 540, 2019
1532019
Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution
B de la Cuesta, N Egami, K Imai
Political Analysis 30 (1), 19 - 45, 2022
1332022
Elements of External Validity: Framework, Design, and Analysis
N Egami, E Hartman
American Political Science Review 117 (3), 1070-1088, 2023
912023
Competing for Loyalists?: How Party Positioning Affects Populist Radical Right Voting
W Chou, RM Dancygier, N Egami, A Jamal
Comparative Political Studies 54 (12), 2226 - 2260, 2021
69*2021
Hate Crimes and Gender Imbalances
RM Dancygier, N Egami, A Jamal, R Rischke
American Journal of Political Science, 2021
48*2021
Covariate Selection for Generalizing Experimental Results: Application to a Large‐Scale Development Program in Uganda
N Egami, E Hartman
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2021
47*2021
Using Multiple Pre-treatment Periods to Improve Difference-in-Differences and Staggered Adoption Designs
N Egami, S Yamauchi
Political Analysis, 2020
36*2020
Spillover Effects in the Presence of Unobserved Networks
N Egami
Political Analysis 29 (3), 287 – 316, 2021
31*2021
Identification of Causal Diffusion Effects Using Placebo Outcomes Under Structural Stationarity
N Egami
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2018
19*2018
Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding
N Egami, EJ Tchetgen Tchetgen
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2023
182023
Quantifying Robustness to External Validity Bias
M Devaux, N Egami
172022
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
N Egami, M Hinck, BM Stewart, H Wei
Thirty-seventh Conference on Neural Information Processing Systems, 2023
16*2023
Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study
M Huang, N Egami, E Hartman, L Miratrix
The Annals of Applied Statistics 17 (3), 2139-2164, 2023
12*2023
Findit: Finding heterogeneous treatment effects
N Egami, M Ratkovic, K Imai
R package available at CRAN, 2018
72018
Positive Empirical Models of Election Fraud (that May Also Measure Voters’ Strategic Behavior
WR Mebane Jr, N Egami, J Klaver, J Wall
Summer Meeting of the Political Methodology Society, University of Georgia, 2014
72014
Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling
N Egami, DDI Lee
32024
Using Large Language Model Annotations for the Social Sciences: A General Framework of Using Predicted Variables in Downstream Analyses
N Egami, M Hinck, BM Stewart, H Wei
2024
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