| Using Multiple Pretreatment Periods to Improve Difference-in-Differences and Staggered Adoption Designs N Egami, S Yamauchi Political Analysis 31 (2), 195-212, 2023 | 76* | 2023 |
| The geography of racially polarized voting: calibrating surveys at the district level S Kuriwaki, S Ansolabehere, A Dagonel, S Yamauchi American Political Science Review 118 (2), 922-939, 2024 | 43 | 2024 |
| Difference-in-Differences for Ordinal Outcomes: Application to the Effect of Mass Shootings on Attitudes toward Gun Control S Yamauchi arXiv preprint arXiv:2009.13404, 2020 | 18 | 2020 |
| Change-Point Detection and Regularization in Time Series Cross-Sectional Data Analysis JH Park, S Yamauchi Political Analysis 31 (2), 257-277, 2023 | 9 | 2023 |
| The Effect of Political Advertising after Citizen’s United: Adjusting for Unmeasured Confounding in Marginal Structural Models M Blackwell, S Yamauchi | 7* | 2024 |
| Using LASSO to Assist Imputation and Predict Child Well-being D Stanescu, E Wang, S Yamauchi Socius 5, 2378023118814623, 2019 | 6 | 2019 |
| Synthetic Area Weighting for Measuring Public Opinion in Small Areas S Kuriwaki, S Yamauchi arXiv preprint arXiv:2105.05829, 2021 | 5 | 2021 |
| bmlogit: Multinomial logit with balancing constraints S Yamauchi, S Kuriwaki R package version 0.0, 2021 | 2 | 2021 |
| Synthetic Control Method with Missing Pre-treatment Outcomes N Liu, S Shin, S Yamauchi | 1 | 2024 |
| Essays on Political Methodology S Yamauchi Harvard University, 2022 | | 2022 |
| Dynamic Plackett-Luce Model for Ranked Data: Application to the Rating of Formula One Drivers S Yamauchi | | |
| Nonparametric Sensitivity Analysis for Randomized Experiments with Missing Outcomes S Yamauchi | | |
