6 papers
Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data
Farbod Alinezhad, Jianfei Cao, Gary J. Young +1
Predicting counterfactual outcomes in longitudinal data, where sequential treatment decisions heavily depend on evolving patient states, is critical yet notoriously challenging due…
The Condition-Number Principle for Prototype Clustering
Romano Li, Jianfei Cao
We develop a geometric framework that links objective accuracy to structural recovery in prototype-based clustering. The analysis is algorithm-agnostic and applies to a broad class…
Estimation and Inference for Synthetic Control Methods with Spillover Effects
Jianfei Cao, Connor Dowd
Estimation and inference procedures for synthetic control methods often do not allow for the existence of spillover effects, which are plausible in many applications. In this paper…
Synthetic Control Inference for Staggered Adoption
Jianfei Cao, Shirley Lu, Hang Wu
We introduce a synthetic control methodology to study policies with staggered adoption. Many policies, such as the board gender diversity policies, are replicated by other policy s…
Neighborhood Stability in Double/Debiased Machine Learning with Dependent Data
Jianfei Cao, Michael P. Leung
This paper studies double/debiased machine learning (DML) methods applied to weakly dependent data. We allow observations to be situated in a general metric space that accommodates…
Assessing Heterogeneity of Treatment Effects
Tetsuya Kaji, Jianfei Cao
Heterogeneous treatment effects are of major interest in economics. For example, a poverty reduction measure would be best evaluated by its effects on those who would be poor in th…