2 citations · 2 across the 1 of their papers we have counts for
4 papers
A Practical Guide to Estimating Conditional Marginal Effects: Modern Approaches
Jiehan Liu, Ziyi Liu, Yiqing Xu
This Element offers a practical guide to estimating conditional marginal effects-how treatment effects vary with a moderating variable-using modern statistical methods. Commonly us…
Optimal Observables for the Chiral Magnetic Effect from Machine Learning
Yuji Hirono, Kazuki Ikeda, Dmitri E. Kharzeev +2
The detection of the Chiral Magnetic Effect (CME) in relativistic heavy-ion collisions remains challenging due to substantial background contributions that obscure the expected sig…
Cohort-Anchored Robust Inference for Event-Study with Staggered Adoption
Ziyi Liu
This paper proposes a cohort-anchored framework for robust inference in event studies with staggered adoption, building on Rambachan and Roth (2023). Robust inference based on even…
A Response to Recent Critiques of Hainmueller, Mummolo and Xu (2019) on Estimating Conditional Relationships
Jens Hainmueller, Jiehan Liu, Ziyi Liu +2
Simonsohn (2024a) and Simonsohn (2024b) critique Hainmueller, Mummolo and Xu (2019, HMX), arguing that failing to model nonlinear relationships between the treatment and moderator…