Cover Image

Estimating Dynamic Marginal Policy Effects under Sequential Unconfoundedness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lai, I-han, Wager, Stefan
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
by: Park, Bryan, et al.
Published: (2026)

Switchback Experiments under Geometric Mixing
by: Hu, Yuchen, et al.
Published: (2022)

What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
by: Cai, Yang, et al.
Published: (2025)

A General Approach to Relaxing Unconfoundedness
by: Masten, Matthew A., et al.
Published: (2025)

Non-parametric Causal Inference in Dynamic Thresholding Designs
by: Ghosh, Aditya, et al.
Published: (2025)

Optimal Targeting in Dynamic Systems
by: Hu, Yuchen, et al.
Published: (2025)

Robust Sensitivity Analysis via Augmented Percentile Bootstrap under Simultaneous Violations of Unconfoundedness and Overlap
by: Cui, Han, et al.
Published: (2025)

Treatment Effects in Market Equilibrium
by: Munro, Evan, et al.
Published: (2021)

Sequentially-Rerandomized Switchback Experiments
by: Zeng, Zhenghao, et al.
Published: (2026)

Treatment Allocation under Uncertain Costs
by: Sun, Hao, et al.
Published: (2021)

Treatment heterogeneity with right-censored outcomes using grf
by: Sverdrup, Erik, et al.
Published: (2023)

What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
by: Dandl, Susanne, et al.
Published: (2022)

Experimenting under Stochastic Congestion
by: Li, Shuangning, et al.
Published: (2023)

Data Fusion for High-Resolution Estimation
by: Guan, Amy, et al.
Published: (2025)

PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025)

Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
by: Karlsson, Rickard K. A., et al.
Published: (2025)

Joint Estimation of Marginal and Heterogeneous Treatment Effects
by: Wuethrich, Leticia, et al.
Published: (2026)

Learning from a Biased Sample
by: Sahoo, Roshni, et al.
Published: (2022)

Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
by: Guo, Xingche, et al.
Published: (2025)

Marginal Causal Effect Estimation with Continuous Instrumental Variables
by: Dong, Mei, et al.
Published: (2025)

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

Minimax-Regret Sample Selection in Randomized Experiments
by: Hu, Yuchen, et al.
Published: (2024)

Noise-Induced Randomization in Regression Discontinuity Designs
by: Eckles, Dean, et al.
Published: (2020)

Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)

postcard: An R Package for Marginal Effect Estimation with or without Prognostic Score Adjustment
by: Jeppesen, Mathias Lerbech, et al.
Published: (2025)

Marginal Interventional Effects
by: Zhou, Xiang, et al.
Published: (2022)

A Practical Guide to Estimating Conditional Marginal Effects: Modern Approaches
by: Liu, Jiehan, et al.
Published: (2025)

Sequential Treatment Effect Estimation with Unmeasured Confounders
by: Wang, Yingrong, et al.
Published: (2025)

Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints
by: Sakaguchi, Shosei
Published: (2021)

Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
by: Sørensen, Øystein
Published: (2026)

Synthetic Difference in Differences
by: Arkhangelsky, Dmitry, et al.
Published: (2018)

Conditional-Marginal Nonparametric Estimation for Stage Waiting Times from Multi-Stage Models under Dependent Right Censoring
by: Zhang, Xiaoxi, et al.
Published: (2025)

Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
by: Johari, Ramesh, et al.
Published: (2025)

Estimating the Joint Distribution of Two Binary Variables with Marginal Statistics
by: Shang, Longwen, et al.
Published: (2025)

Bootstrap-Aggregated Method-of-Moments Estimation of the Copula Correlation Parameter for Marginal Survival Inference under Dependent Censoring
by: Zhang, Hyun-Soo, et al.
Published: (2026)

Marginal Effects for Probit and Tobit with Endogeneity
by: Evdokimov, Kirill S., et al.
Published: (2023)

Estimation of Bivariate Normal Distributions from Marginal Summaries in Clinical Trials
by: Shang, Longwen, et al.
Published: (2025)

Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
by: Yang, Yanjiao, et al.
Published: (2024)

Identification and Estimation of Heterogeneous Interference Effects under Unknown Network
by: Zhang, Yuhua, et al.
Published: (2025)

Easily Computed Marginal Likelihoods for Multivariate Mixture Models Using the THAMES Estimator
by: Metodiev, Martin, et al.
Published: (2025)