| How to Make Causal Inferences Using Texts N Egami, CJ Fong, J Grimmer, ME Roberts, BM Stewart Science Advances 8 (42), eabg2652, 2022 | 211 | 2022 |
| Causal Interaction in Factorial Experiments: Application to Conjoint Analysis N Egami, K Imai Journal of the American Statistical Association 114 (526), 529 - 540, 2019 | 153 | 2019 |
| 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 | 133 | 2022 |
| Elements of External Validity: Framework, Design, and Analysis N Egami, E Hartman American Political Science Review 117 (3), 1070-1088, 2023 | 91 | 2023 |
| 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 | 18 | 2023 |
| Quantifying Robustness to External Validity Bias M Devaux, N Egami | 17 | 2022 |
| 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 | 7 | 2018 |
| 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 | 7 | 2014 |
| Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling N Egami, DDI Lee | 3 | 2024 |
| 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 |
Kosuke ImaiProfessor of Government and of Statistics, Harvard UniversityVerified email at Harvard.Edu
