Cover Image

On the Efficiency of Highly Stratified Experiments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bai, Yuehao, Liu, Jizhou, Shaikh, Azeem M., Tabord-Meehan, Max
Format:	Preprint
Published:	2023
Subjects:	Econometrics Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inference in Cluster Randomized Trials with Matched Pairs
by: Bai, Yuehao, et al.
Published: (2022)

A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances
by: Bai, Yuehao, et al.
Published: (2024)

A New Design-Based Variance Estimator for Finely Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2025)

Inference in Experiments with Matched Pairs and Imperfect Compliance
by: Bai, Yuehao, et al.
Published: (2023)

Inference for Linear Systems with Unknown Coefficients
by: Bai, Yuehao, et al.
Published: (2026)

Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes
by: Bugni, Federico, et al.
Published: (2022)

The Local Approach to Causal Inference under Network Interference
by: Auerbach, Eric, et al.
Published: (2021)

Randomization Inference in Two-Sided Market Experiments
by: Liu, Jizhou, et al.
Published: (2025)

Exposure effects are not automatically useful for policymaking
by: Auerbach, Eric, et al.
Published: (2024)

Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)

Partial Identification under Stratified Randomization
by: Ferman, Bruno, et al.
Published: (2026)

Sharp Testable Implications of Encouragement Designs
by: Bai, Yuehao, et al.
Published: (2024)

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

Robust Estimation and Inference for Categorical Data
by: Welz, Max
Published: (2024)

Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions
by: Zhao, Sihui, et al.
Published: (2024)

Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
by: Epanomeritakis, Aristotelis, et al.
Published: (2025)

A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)

Learning Time-Varying Correlation Networks with FDR Control via Time-Varying P-values
by: Li, Bufan, et al.
Published: (2025)

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

Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)

Nonlinear Binscatter Methods
by: Cattaneo, Matias D., et al.
Published: (2024)

Covariate Adjustment in Stratified Experiments
by: Cytrynbaum, Max
Published: (2023)

Sparse High-Dimensional Vector Autoregressive Bootstrap
by: Adamek, Robert, et al.
Published: (2023)

High Dimensional Factor Analysis with Weak Factors
by: Choi, Jungjun, et al.
Published: (2024)

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

Inference for Forecasting Accuracy: Pooled versus Individual Estimators in High-dimensional Panel Data
by: Kutta, Tim, et al.
Published: (2025)

Spectral analysis of high-dimensional spot volatility matrix with applications
by: Liu, Qiang, et al.
Published: (2025)

Finely Stratified Rerandomization Designs
by: Cytrynbaum, Max
Published: (2024)

Nonparametric Uniform Inference in Binary Classification and Policy Values
by: Liu, Nan, et al.
Published: (2025)

Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)

Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$
by: Gu, Yujia, et al.
Published: (2025)

Inference on Consensus Ranking of Distributions
by: Kaplan, David M.
Published: (2024)

Comparing latent inequality with ordinal data
by: Kaplan, David M., et al.
Published: (2025)

Frequentist properties of Bayesian inequality tests
by: Kaplan, David M., et al.
Published: (2016)

Inference for Two-stage Experiments under Covariate-Adaptive Randomization
by: Liu, Jizhou
Published: (2023)

Reproducible Aggregation of Sample-Split Statistics
by: Ritzwoller, David M., et al.
Published: (2023)

Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)

Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)

Optimal Conditional Inference in Adaptive Experiments
by: Chen, Jiafeng, et al.
Published: (2023)

Demistifying Inference after Adaptive Experiments
by: Bibaut, Aurélien, et al.
Published: (2024)