Haitian Xie
Biographic Data
| ID | 8920968 |
|---|---|
| NAME | Haitian Xie |
| GIVEN NAMES | Haitian |
| FAMILY NAME | Xie |
| SIGNATURE | XIE H |
| AFFILIATIONS | Peking University |
| ORCID | 0000-0003-4284-081X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Model Selection for Multivalued-Treatment Policy Learning in Observational Studies
This study investigates the policy learning problem in observational studies, where the treatment variable can be multivalued and the propensity scores are unknown. We approximate the optimal policy in a global policy class with infinite complexity (VC/Natarajan) dimension, using a sequence of sieve policy classes with finite complexity dimension. The optimal policy within each sieve class is estimated by maximizing the empirical welfare, constru…
Efficient and Robust Estimation of the Generalized Late Model
This article studies the estimation of causal parameters in the generalized local average treatment effect (GLATE) model, which expands upon the traditional LATE model to include multivalued treatments. We derive the efficient influence function (EIF) and the semiparametric efficiency bound (SPEB) for two types of causal parameters: the local average structural function (LASF) and the local average structural function for the treated (LASFT). The…
Strength in numbers
Global Representation of the Conditional Late Model
This paper studies the latent index representation of the conditional LATE model, making explicit the role of covariates in treatment selection. We find that if the directions of the monotonicity condition are the same across all values of the conditioning covariate, which is often assumed in the literature, then the treatment choice equation has to satisfy a separability condition between the instrument and the covariate. This global representat…
No prominent works on this page.
Global Representation of the Conditional Late Model
This paper studies the latent index representation of the conditional LATE model, making explicit the role of covariates in treatment selection. We find that if the directions of the monotonicity condition are the same across all values of the conditioning covariate, which is often assumed in the literature, then the treatment choice equation has to satisfy a separability condition between the instrument and the covariate. This global representat…
Strength in numbers
Efficient and Robust Estimation of the Generalized Late Model
This article studies the estimation of causal parameters in the generalized local average treatment effect (GLATE) model, which expands upon the traditional LATE model to include multivalued treatments. We derive the efficient influence function (EIF) and the semiparametric efficiency bound (SPEB) for two types of causal parameters: the local average structural function (LASF) and the local average structural function for the treated (LASFT). The…
Model Selection for Multivalued-Treatment Policy Learning in Observational Studies
This study investigates the policy learning problem in observational studies, where the treatment variable can be multivalued and the propensity scores are unknown. We approximate the optimal policy in a global policy class with infinite complexity (VC/Natarajan) dimension, using a sequence of sieve policy classes with finite complexity dimension. The optimal policy within each sieve class is estimated by maximizing the empirical welfare, constru…
Mathematics (4 works) · Advanced Causal Inference Techniques (3 works) · Computer Science (3 works) · Econometrics (3 works) · Mathematical optimization (3 works) · Statistics (3 works) · Artificial Intelligence (2 works) · Economics (2 works) · Estimator (2 works) · Statistical Methods and Bayesian Inference (2 works)