Cover Image

Instrumental Variable Estimation of Distributional Causal Effects

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kook, Lucas, Pfister, Niklas
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Identifiability of Sparse Causal Effects using Instrumental Variables
by: Pfister, Niklas, et al.
Published: (2022)

Identifying Causal Effects Using a Single Proxy Variable
by: Vollmer, Silvan, et al.
Published: (2026)

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

Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
by: Huang, Shimeng, et al.
Published: (2024)

Causal Change Point Detection and Localization
by: Huang, Shimeng, et al.
Published: (2024)

Instrumental Variable Approach to Estimating Individual Causal Effects in N-of-1 Trials: Application to ISTOP Study
by: Qu, Kexin, et al.
Published: (2023)

Identifying Causal Effects Using Instrumental Variables from the Auxiliary Dataset
by: Shuai, Kang, et al.
Published: (2023)

Causal Effect Estimation with Learned Instrument Representations
by: Dean, Frances, et al.
Published: (2026)

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

Choosing the Right Approach at the Right Time: A Comparative Analysis of Causal Effect Estimation using Confounder Adjustment and Instrumental Variables
by: Zawadzki, Roy S., et al.
Published: (2023)

Distributional Instrumental Variable Method
by: Holovchak, Anastasiia, et al.
Published: (2025)

Stabilizing Variable Selection and Regression
by: Pfister, Niklas, et al.
Published: (2019)

Perturbation-based Effect Measures for Compositional Data
by: Lundborg, Anton Rask, et al.
Published: (2023)

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

Quantifying Omitted Variable Bias in Nonlinear Instrumental Variable Estimators
by: Yen, Yu-Min
Published: (2026)

Measurement Error-Robust Causal Inference via Constructed Instrumental Variables
by: Miles, Caleb H., et al.
Published: (2024)

Bayesian Model Averaging in Causal Instrumental Variable Models
by: Steiner, Gregor, et al.
Published: (2025)

Non-parametric Replication of Instrumental Variable Estimates Across Studies
by: Zawadzki, Roy S., et al.
Published: (2024)

Bounding Causal Effects with Leaky Instruments
by: Watson, David S., et al.
Published: (2024)

Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models
by: Boushehrian, Arefe, et al.
Published: (2026)

Mining Causality: AI-Assisted Search for Instrumental Variables
by: Han, Sukjin
Published: (2024)

On Doubly Robust Estimation with Nonignorable Missing Data Using Instrumental Variables
by: Sun, Baoluo, et al.
Published: (2023)

An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
by: Fisher, Zachary F., et al.
Published: (2019)

Double Variable Importance Matching to Estimate Distinct Causal Effects on Event Probability and Timing
by: Li, Yuqi, et al.
Published: (2026)

Extrapolation-Aware Nonparametric Statistical Inference
by: Pfister, Niklas, et al.
Published: (2024)

The Multiplicative Instrumental Variable Model
by: Liu, Jiewen, et al.
Published: (2025)

Iterative Estimation of Nonparametric Regressions with Continuous Endogenous Variables and Discrete Instruments
by: Centorrino, Samuele, et al.
Published: (2019)

Stratification-based Instrumental Variable Analysis Framework for Nonlinear Effect Analysis
by: Tian, Haodong, et al.
Published: (2025)

Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators
by: Henry, Teague R., et al.
Published: (2018)

Nonparametric Estimation of Local Treatment Effects with Continuous Instruments
by: Zeng, Zhenghao, et al.
Published: (2025)

On Quantile Treatment Effects, Rank Similarity,and Variation of Instrumental Variables
by: Han, Sukjin, et al.
Published: (2025)

Exact Graph Learning via Integer Programming
by: Kook, Lucas, et al.
Published: (2026)

The Multiplicative Quasi-Instrumental Variable Model
by: Liu, Jiewen, et al.
Published: (2026)

Nested Instrumental Variables Analysis: Switcher Average Treatment Effect, Identification, Efficient Estimation and Generalizability
by: Wang, Rui, et al.
Published: (2024)

Beyond Conditional Averages: Estimating The Individual Causal Effect Distribution
by: Post, Richard, et al.
Published: (2022)

Causal-DRF: Conditional Kernel Treatment Effect Estimation using Distributional Random Forest
by: Näf, Jeffrey, et al.
Published: (2024)

Estimation of the Number Needed to Treat, the Number Needed to be Exposed, and the Exposure Impact Number with Instrumental Variables
by: Vancak, Valentin, et al.
Published: (2023)

A Practical Guide to Instrumental Variables Methods with Heterogeneous Treatment Effects
by: Słoczyński, Tymon, et al.
Published: (2026)

Semiparametric Causal Discovery and Inference with Invalid Instruments
by: Zou, Jing, et al.
Published: (2025)

Instrument, Variable and Model Selection with Nonignorable Nonresponse
by: Chen, Ji, et al.
Published: (2025)