Copertina

A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, Zeqi, Wang, Meilin, Huang, Wei, Zhang, Zheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Econometrics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects
di: Słoczyński, Tymon, et al.
Pubblicazione: (2023)

On a Debiased and Semiparametric Efficient Changes-in-Changes Estimator
di: Sun, Jinghao, et al.
Pubblicazione: (2025)

Integrating Heterogeneous Information in Randomized Experiments: A Unified Calibration Framework
di: Ma, Wei, et al.
Pubblicazione: (2026)

Data-Automated Policy Learning for Nonlinear Welfare
di: Ai, Chunrong, et al.
Pubblicazione: (2026)

Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect
di: Słoczyński, Tymon, et al.
Pubblicazione: (2022)

Estimating Effects of Long-Term Treatments
di: Huang, Shan, et al.
Pubblicazione: (2023)

Pairwise Difference Representations of Moments: Gini and Generalized Lagrange identities
di: Dufour, Jean-Marie, et al.
Pubblicazione: (2025)

Balancing Weights for Causal Mediation Analysis
di: Kawato, Kentaro
Pubblicazione: (2025)

Double/Debiased CoCoLASSO of Treatment Effects with Mismeasured High-Dimensional Control Variables
di: Kim, Geonwoo, et al.
Pubblicazione: (2024)

Balancing Flexibility and Interpretability: A Conditional Linear Model Estimation via Random Forest
di: Masini, Ricardo, et al.
Pubblicazione: (2025)

Estimation of Grouped Time-Varying Network Vector Autoregression Models
di: Li, Degui, et al.
Pubblicazione: (2023)

Focused Weighted-Average Least Squares Estimator
di: Yin, Shou-Yung
Pubblicazione: (2026)

Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
di: Zhan, Ruohan, et al.
Pubblicazione: (2024)

Weighted Regression with Sybil Networks
di: Shah, Nihar
Pubblicazione: (2024)

Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
di: Kato, Masahiro
Pubblicazione: (2024)

Neighborhood Stability in Double/Debiased Machine Learning with Dependent Data
di: Cao, Jianfei, et al.
Pubblicazione: (2025)

Efficient GMM and Weighting Matrix under Misspecification
di: Kang, Byunghoon
Pubblicazione: (2026)

Estimating Treatment Effects Under Bounded Heterogeneity
di: Kwon, Soonwoo, et al.
Pubblicazione: (2025)

Higher-Order Debiased Estimators for General Treatment Models
di: Zhang, Yulin, et al.
Pubblicazione: (2026)

Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
di: Kato, Masahiro, et al.
Pubblicazione: (2023)

On the Identifying Power of Generalized Monotonicity for Average Treatment Effects
di: Bai, Yuehao, et al.
Pubblicazione: (2024)

Non-parametric Quantile Regression and Uniform Inference with Unknown Error Distribution
di: Hou, Haoze, et al.
Pubblicazione: (2025)

Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
di: Chernozhukov, Victor, et al.
Pubblicazione: (2024)

Generalized Poisson Dynamic Network Models
di: Carallo, Giulia, et al.
Pubblicazione: (2026)

Computationally Efficient Estimation of Large Probit Models
di: Ding, Patrick, et al.
Pubblicazione: (2024)

Debiased Ill-Posed Regression
di: Ghassami, AmirEmad, et al.
Pubblicazione: (2025)

Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
di: Deng, Yuhao, et al.
Pubblicazione: (2026)

Privacy-Protected Spatial Autoregressive Model
di: Huang, Danyang, et al.
Pubblicazione: (2024)

Graph Neural Networks for Causal Inference Under Network Confounding
di: Leung, Michael P., et al.
Pubblicazione: (2022)

An Introduction to Double/Debiased Machine Learning
di: Ahrens, Achim, et al.
Pubblicazione: (2025)

Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory
di: Gilbert, Joshua B., et al.
Pubblicazione: (2024)

Qini Curves for Multi-Armed Treatment Rules
di: Sverdrup, Erik, et al.
Pubblicazione: (2023)

Inference on Individual Treatment Effects in Nonseparable Triangular Models
di: Ma, Jun, et al.
Pubblicazione: (2021)

Uniform Inference on High-dimensional Spatial Panel Networks
di: Chernozhukov, Victor, et al.
Pubblicazione: (2021)

Inference on the Distribution of Individual Treatment Effects in Nonseparable Triangular Models
di: Ma, Jun, et al.
Pubblicazione: (2025)

Identification and Debiased Learning of Causal Effects with General Instrumental Variables
di: Chen, Shuyuan, et al.
Pubblicazione: (2025)

Finite-Sample Risk Approximation and Risk-Consistent Tuning for Generalized Ridge Estimation in Nonlinear Models: Controlling Extreme Realizations
di: Iwasawa, Masamune
Pubblicazione: (2025)

Debiased Regression for Root-N-Consistent Conditional Mean Estimation
di: Kato, Masahiro
Pubblicazione: (2024)

Estimation of High-dimensional Nonlinear Vector Autoregressive Models
di: Han, Yuefeng, et al.
Pubblicazione: (2025)

Quantifying the Internal Validity of Weighted Estimands
di: Poirier, Alexandre, et al.
Pubblicazione: (2024)