Distributionally Robust Treatment Effect
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Ruonan, Yang, Xiye |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Influence Function: Local Robustness and Efficiency
by: Yang, Xiye, et al.
Published: (2025)
by: Yang, Xiye, et al.
Published: (2025)
Difference-in-Differences with Interference
by: Xu, Ruonan
Published: (2023)
by: Xu, Ruonan
Published: (2023)
Clustering with Potential Multidimensionality: Inference and Practice
by: Xu, Ruonan, et al.
Published: (2024)
by: Xu, Ruonan, et al.
Published: (2024)
Distributional Treatment Effect with Latent Rank Invariance
by: Shin, Myungkou
Published: (2024)
by: Shin, Myungkou
Published: (2024)
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
by: Kallus, Nathan, et al.
Published: (2022)
by: Kallus, Nathan, et al.
Published: (2022)
Predicting the Distribution of Treatment Effects: A Covariate-Adjustment Approach
by: Fava, Bruno
Published: (2024)
by: Fava, Bruno
Published: (2024)
Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Quantile and Distribution Treatment Effects on the Treated with Possibly Non-Continuous Outcomes
by: Djuazon, Nelly K., et al.
Published: (2024)
by: Djuazon, Nelly K., et al.
Published: (2024)
The Identification Power of Combining Experimental and Observational Data for Distributional Treatment Effect Parameters
by: Sakaguchi, Shosei
Published: (2025)
by: Sakaguchi, Shosei
Published: (2025)
Doubly Robust Identification of Causal Effects of a Continuous Treatment using Discrete Instruments
by: Dong, Yingying, et al.
Published: (2023)
by: Dong, Yingying, et al.
Published: (2023)
Partial Identification of Distributional Treatment Effects in Panel Data using Copula Equality Assumptions
by: Madigasekara, Heshani, et al.
Published: (2024)
by: Madigasekara, Heshani, et al.
Published: (2024)
Inference on the Distribution of Individual Treatment Effects in Nonseparable Triangular Models
by: Ma, Jun, et al.
Published: (2025)
by: Ma, Jun, et al.
Published: (2025)
Treatment Effects in Market Equilibrium
by: Munro, Evan, et al.
Published: (2021)
by: Munro, Evan, et al.
Published: (2021)
Treatment Effects with Multidimensional Unobserved Heterogeneity: Identification of the Marginal Treatment Effect
by: Tsuda, Toshiki
Published: (2022)
by: Tsuda, Toshiki
Published: (2022)
Nonparametric Point Identification of Treatment Effect Distributions via Rank Stickiness
by: Liang, Tengyuan
Published: (2026)
by: Liang, Tengyuan
Published: (2026)
Forecasted Treatment Effects
by: Botosaru, Irene, et al.
Published: (2023)
by: Botosaru, Irene, et al.
Published: (2023)
Robust Bayes Treatment Choice with Partial Identification
by: Fernández, Andrés Aradillas, et al.
Published: (2024)
by: Fernández, Andrés Aradillas, et al.
Published: (2024)
Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects
by: Słoczyński, Tymon, et al.
Published: (2023)
by: Słoczyński, Tymon, et al.
Published: (2023)
Marginal Treatment Effects and Monotonicity
by: Sigstad, Henrik
Published: (2024)
by: Sigstad, Henrik
Published: (2024)
Treatment Effects of Multi-Valued Treatments in Hyper-Rectangle Model
by: Tian, Xunkang
Published: (2025)
by: Tian, Xunkang
Published: (2025)
Local Average and Marginal Treatment Effects with a Misclassified Treatment
by: Acerenza, Santiago, et al.
Published: (2021)
by: Acerenza, Santiago, et al.
Published: (2021)
Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
by: Deng, Yuhao, et al.
Published: (2026)
by: Deng, Yuhao, et al.
Published: (2026)
On Quantile Treatment Effects, Rank Similarity,and Variation of Instrumental Variables
by: Han, Sukjin, et al.
Published: (2025)
by: Han, Sukjin, et al.
Published: (2025)
Treatment Effect Estimators as Weighted Outcomes
by: Knaus, Michael C.
Published: (2024)
by: Knaus, Michael C.
Published: (2024)
Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period
by: de Chaisemartin, Clément, et al.
Published: (2022)
by: de Chaisemartin, Clément, et al.
Published: (2022)
Triple Difference Designs with Heterogeneous Treatment Effects
by: Caron, Laura
Published: (2025)
by: Caron, Laura
Published: (2025)
Difference-in-Differences Estimators of Intertemporal Treatment Effects
by: de Chaisemartin, Clément, et al.
Published: (2020)
by: de Chaisemartin, Clément, et al.
Published: (2020)
Instrumented Difference-in-Differences with Heterogeneous Treatment Effects
by: Miyaji, Sho
Published: (2024)
by: Miyaji, Sho
Published: (2024)
Finitely Heterogeneous Treatment Effect in Event-study
by: Shin, Myungkou
Published: (2022)
by: Shin, Myungkou
Published: (2022)
Double Robust Bayesian Inference on Average Treatment Effects
by: Breunig, Christoph, et al.
Published: (2022)
by: Breunig, Christoph, et al.
Published: (2022)
Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences
by: Imai, Shunsuke, et al.
Published: (2023)
by: Imai, Shunsuke, et al.
Published: (2023)
Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks
by: Hirata, Tomu, et al.
Published: (2025)
by: Hirata, Tomu, et al.
Published: (2025)
Uniform Confidence Band for Marginal Treatment Effect Function
by: Tsuda, Toshiki, et al.
Published: (2025)
by: Tsuda, Toshiki, et al.
Published: (2025)
Dynamic Local Average Treatment Effects in Time Series
by: Casini, Alessandro, et al.
Published: (2025)
by: Casini, Alessandro, et al.
Published: (2025)
rdhte: Conditional Average Treatment Effects in RD Designs
by: Calonico, Sebastian, et al.
Published: (2025)
by: Calonico, Sebastian, et al.
Published: (2025)
Time-Varying Heterogeneous Treatment Effects in Event Studies
by: Botosaru, Irene, et al.
Published: (2025)
by: Botosaru, Irene, et al.
Published: (2025)
Residualised Treatment Intensity and the Estimation of Average Partial Effects
by: Schäper, Julius
Published: (2025)
by: Schäper, Julius
Published: (2025)
Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes
by: Bugni, Federico A., et al.
Published: (2023)
by: Bugni, Federico A., et al.
Published: (2023)
Policy Relevant Treatment Effects with Multidimensional Unobserved Heterogeneity
by: Ura, Takuya, et al.
Published: (2024)
by: Ura, Takuya, et al.
Published: (2024)
Semiparametric Single-Index Estimation for Average Treatment Effects
by: Huang, Difang, et al.
Published: (2022)
by: Huang, Difang, et al.
Published: (2022)
Similar Items
-
Influence Function: Local Robustness and Efficiency
by: Yang, Xiye, et al.
Published: (2025) -
Difference-in-Differences with Interference
by: Xu, Ruonan
Published: (2023) -
Clustering with Potential Multidimensionality: Inference and Practice
by: Xu, Ruonan, et al.
Published: (2024) -
Distributional Treatment Effect with Latent Rank Invariance
by: Shin, Myungkou
Published: (2024) -
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
by: Kallus, Nathan, et al.
Published: (2022)