Cover Image

Identification of Treatment Effects under Limited Exogenous Variation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Newey, Whitney K., Stouli, Sami
Format:	Preprint
Published:	2018
Subjects:	Econometrics Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions
by: Spady, Richard, et al.
Published: (2020)

Panel Estimation of Taxable Income Elasticities with Heterogeneity and Endogenous Budget Sets
by: Blomquist, Soren, et al.
Published: (2024)

Efficient Bias Correction for Cross-section and Panel Data
by: Hahn, Jinyong, et al.
Published: (2022)

Conditional Influence Functions
by: Chernozhukov, Victor, et al.
Published: (2024)

Nonparametric Treatment Effect Identification in School Choice
by: Chen, Jiafeng
Published: (2021)

Linear Regression with Weak Exogeneity
by: Mikusheva, Anna, et al.
Published: (2023)

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

Long Story Short: Omitted Variable Bias in Causal Machine Learning
by: Chernozhukov, Victor, et al.
Published: (2021)

Nonparametric Identification of Demand without Exogenous Product Characteristics
by: Borusyak, Kirill, et al.
Published: (2025)

Bounding Treatment Effects by Pooling Limited Information across Observations
by: Lee, Sokbae, et al.
Published: (2021)

Nonparametric Point Identification of Treatment Effect Distributions via Rank Stickiness
by: Liang, Tengyuan
Published: (2026)

Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
by: Tan, Jiyuan, et al.
Published: (2026)

Identification of Long-Term Treatment Effects via Temporal Links, Observational, and Experimental Data
by: Obradović, Filip
Published: (2024)

Extreme Quantile Treatment Effects under Endogeneity: Evaluating Policy Effects for the Most Vulnerable Individuals
by: Sasaki, Yuya, et al.
Published: (2024)

The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
by: Hung, Ting-Chih, et al.
Published: (2026)

Assessing Sensitivity to IV Exclusion and Exogeneity without First Stage Monotonicity
by: Diegert, Paul, et al.
Published: (2026)

Testing the Exogeneity of Instrumental Variables and Regressors in Linear Regression Models Using Copulas
by: Emadi, Seyed Morteza
Published: (2024)

The Falsification Adaptive Set in Linear Models with Instrumental Variables that Violate the Exclusion or Conditional Exogeneity Restriction
by: Apfel, Nicolas, et al.
Published: (2022)

Identification of Average Treatment Effects in Nonparametric Panel Models
by: Athey, Susan, et al.
Published: (2025)

Partial Identification of Causal Effects for Endogenous Continuous Treatments
by: Dalal, Abhinandan, et al.
Published: (2025)

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

Treatment Effects with Targeting Instruments
by: Lee, Sokbae, et al.
Published: (2020)

Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
by: Cattaneo, Matias D., et al.
Published: (2025)

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

(Visualizing) Plausible Treatment Effect Paths
by: Freyaldenhoven, Simon, et al.
Published: (2025)

Heterogeneous Treatment Effects and Causal Mechanisms
by: Fu, Jiawei, et al.
Published: (2024)

Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models
by: Davezies, Laurent, et al.
Published: (2021)

Identification of Dynamic Panel Logit Models with Fixed Effects
by: Dobronyi, Christopher, et al.
Published: (2021)

Sharp Hybrid Confidence Bands for Partially Identified Treatment Effects under Tail Uncertainty with an Application to Workforce Gender Diversity and Firm Performance
by: Lordan, Grace, et al.
Published: (2025)

Treatment Effect Heterogeneity in Regression Discontinuity Designs
by: Calonico, Sebastian, et al.
Published: (2025)

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

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

When Do Treatment Changes Identify Causal Effects?
by: Huber, Martin
Published: (2026)

Randomization Inference For the Always-Reporter Average Treatment Effect
by: Chang, Haoge, et al.
Published: (2026)

Identifying Treatment and Spillover Effects Using Exposure Contrasts
by: Leung, Michael P.
Published: (2024)

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

Bayesian Inference for Confounding Variables and Limited Information
by: Scharfenaker, Ellis, et al.
Published: (2025)

Extracting Mechanisms from Heterogeneous Effects: An Identification Strategy for Mediation Analysis
by: Fu, Jiawei
Published: (2024)

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

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