Partial Identification under Stratified Randomization
Fuente:
arXiv
Saved in:
| Main Authors: | Ferman, Bruno, Siqueira, Davi, Possebom, Vitor |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Efficiency of Highly Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2023)
by: Bai, Yuehao, et al.
Published: (2023)
Optimal Decision Rules Under Partial Identification
by: Yata, Kohei
Published: (2021)
by: Yata, Kohei
Published: (2021)
Partial Identification of Causal Effects for Endogenous Continuous Treatments
by: Dalal, Abhinandan, et al.
Published: (2025)
by: Dalal, Abhinandan, et al.
Published: (2025)
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)
by: Qu, Zhaonan, et al.
Published: (2021)
Nonparametric Identification of Demand without Exogenous Product Characteristics
by: Borusyak, Kirill, et al.
Published: (2025)
by: Borusyak, Kirill, et al.
Published: (2025)
A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)
by: Harshaw, Christopher, et al.
Published: (2022)
Efficient Difference-in-Differences Estimation when Outcomes are Missing at Random
by: Testa, Lorenzo, et al.
Published: (2025)
by: Testa, Lorenzo, et al.
Published: (2025)
Integrating Heterogeneous Information in Randomized Experiments: A Unified Calibration Framework
by: Ma, Wei, et al.
Published: (2026)
by: Ma, Wei, et al.
Published: (2026)
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)
by: Oka, Tatsushi, et al.
Published: (2024)
Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions
by: Zhao, Sihui, et al.
Published: (2024)
by: Zhao, Sihui, et al.
Published: (2024)
On (in)consistency of M-estimators under contamination
by: Klooster, Jens, et al.
Published: (2025)
by: Klooster, Jens, et al.
Published: (2025)
Causal clustering: design of cluster experiments under network interference
by: Viviano, Davide, et al.
Published: (2023)
by: Viviano, Davide, et al.
Published: (2023)
Estimation of the complier causal hazard ratio under dependent censoring
by: Crommen, Gilles, et al.
Published: (2025)
by: Crommen, Gilles, et al.
Published: (2025)
Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$
by: Gu, Yujia, et al.
Published: (2025)
by: Gu, Yujia, et al.
Published: (2025)
Evaluating Policy Effects under Network Interference without Network Information: A Transfer Learning Approach
by: Hoshino, Tadao
Published: (2025)
by: Hoshino, Tadao
Published: (2025)
The Role of Contextual Information in Best Arm Identification
by: Kato, Masahiro, et al.
Published: (2021)
by: Kato, Masahiro, et al.
Published: (2021)
Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
IV regression with distribution-valued outcomes
by: Van Dijcke, David, et al.
Published: (2026)
by: Van Dijcke, David, et al.
Published: (2026)
Tweedie Calculus
by: Torres, Santiago
Published: (2026)
by: Torres, Santiago
Published: (2026)
Nonparametric Empirical Bayes Confidence Intervals
by: Xie, Zhen
Published: (2026)
by: Xie, Zhen
Published: (2026)
Distributional Discontinuity Design
by: Schindl, Kyle, et al.
Published: (2026)
by: Schindl, Kyle, et al.
Published: (2026)
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)
by: Kock, Lucas, et al.
Published: (2026)
Beyond the Oracle Property: Adaptive LASSO in Cointegrating Regressions with Local-to-Unity Regressors
by: Reichold, Karsten, et al.
Published: (2025)
by: Reichold, Karsten, et al.
Published: (2025)
Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)
by: Reichel, Felix
Published: (2025)
A Test for Jumps in Metric-Space Conditional Means
by: Van Dijcke, David
Published: (2025)
by: Van Dijcke, David
Published: (2025)
Regression Model Selection Under General Conditions
by: Lusompa, Amaze
Published: (2025)
by: Lusompa, Amaze
Published: (2025)
Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)
by: Breunig, Christoph, et al.
Published: (2025)
Estimation and Inference for CP Tensor Factor Models
by: Chen, Bin, et al.
Published: (2024)
by: Chen, Bin, et al.
Published: (2024)
Modewise Additive Factor Model for Matrix Time Series
by: Chen, Elynn, et al.
Published: (2025)
by: Chen, Elynn, et al.
Published: (2025)
Bias correction for Chatterjee's graph-based correlation coefficient
by: Azadkia, Mona, et al.
Published: (2025)
by: Azadkia, Mona, et al.
Published: (2025)
A Note on the Finite Sample Bias in Time Series Cross-Validation
by: Lusompa, Amaze
Published: (2025)
by: Lusompa, Amaze
Published: (2025)
Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
by: Epanomeritakis, Aristotelis, et al.
Published: (2025)
by: Epanomeritakis, Aristotelis, et al.
Published: (2025)
Nonlinear Binscatter Methods
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Cutting Feedback in Misspecified Copula Models
by: Smith, Michael Stanley, et al.
Published: (2023)
by: Smith, Michael Stanley, et al.
Published: (2023)
Causal Interpretation of Regressions With Ranks
by: Lei, Lihua
Published: (2024)
by: Lei, Lihua
Published: (2024)
Comparing latent inequality with ordinal data
by: Kaplan, David M., et al.
Published: (2025)
by: Kaplan, David M., et al.
Published: (2025)
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)
by: Fang, Qin, et al.
Published: (2025)
Frequentist properties of Bayesian inequality tests
by: Kaplan, David M., et al.
Published: (2016)
by: Kaplan, David M., et al.
Published: (2016)
Joint Quantile Shrinkage: A State-Space Approach toward Non-Crossing Bayesian Quantile Models
by: Kohns, David, et al.
Published: (2025)
by: Kohns, David, et al.
Published: (2025)
Selecting the Best Arm in One-Shot Multi-Arm RCTs: The Asymptotic Minimax-Regret Decision Framework for the Best-Population Selection Problem
by: Joo, Joonhwi
Published: (2025)
by: Joo, Joonhwi
Published: (2025)
Similar Items
-
On the Efficiency of Highly Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2023) -
Optimal Decision Rules Under Partial Identification
by: Yata, Kohei
Published: (2021) -
Partial Identification of Causal Effects for Endogenous Continuous Treatments
by: Dalal, Abhinandan, et al.
Published: (2025) -
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021) -
Nonparametric Identification of Demand without Exogenous Product Characteristics
by: Borusyak, Kirill, et al.
Published: (2025)