6 citations · 13 across the 4 of their papers we have counts for
4 papers
Adjusting for Unmeasured Confounding in Marginal Structural Models with Propensity-Score Fixed Effects
Matthew Blackwell, Soichiro Yamauchi
Marginal structural models are a popular tool for investigating the effects of time-varying treatments, but they require an assumption of no unobserved confounders between the trea…
Synthetic Area Weighting for Measuring Public Opinion in Small Areas
Shiro Kuriwaki, Soichiro Yamauchi
The comparison of subnational areas is ubiquitous but survey samples of these areas are often biased or prohibitively small. Researchers turn to methods such as multilevel regressi…
Using Multiple Pre-treatment Periods to Improve Difference-in-Differences and Staggered Adoption Design
Naoki Egami, Soichiro Yamauchi
While a difference-in-differences (DID) design was originally developed with one pre- and one post-treatment period, data from additional pre-treatment periods are often available.…
Difference-in-Differences for Ordinal Outcomes: Application to the Effect of Mass Shootings on Attitudes toward Gun Control
Soichiro Yamauchi
The difference-in-differences (DID) design is widely used in observational studies to estimate the causal effect of a treatment when repeated observations over time are available.…