:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Chang, Haoge
Format:	Preprint
Published:	2023
Subjects:	Econometrics
Online Access:	https://arxiv.org/abs/2311.06891
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Coupling Designs for Randomized Experiments with Complex Treatments
by: Cytrynbaum, Max, et al.
Published: (2026)

Treatment-Effect Estimation in Complex Designs under a Parallel-trends Assumption
by: de Chaisemartin, Clément, et al.
Published: (2025)

Designing Persuasive Experiments
by: Adusumilli, Karun, et al.
Published: (2026)

Efficient Adaptive Experimental Design for Average Treatment Effect Estimation
by: Kato, Masahiro, et al.
Published: (2020)

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

Interpreting TSLS Estimators in Information Provision Experiments
by: Vilfort, Vod, et al.
Published: (2023)

Large Scale Longitudinal Experiments: Estimation and Inference
by: Lal, Apoorva, et al.
Published: (2024)

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

Using did_multiplegt_dyn to Estimate Event-Study Effects in Complex Designs: Overview, and Four Examples Based on Real Datasets
by: de Chaisemartin, Clément, et al.
Published: (2025)

Synthetic Controls for Experimental Design
by: Abadie, Alberto, et al.
Published: (2021)

Personalized Policy Learning through Discrete Experimentation: Theory and Empirical Evidence
by: Zhang, Zhiqi, et al.
Published: (2026)

Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
by: Kato, Masahiro, et al.
Published: (2024)

Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity
by: Wang, Yike, et al.
Published: (2024)

Design-Based Uncertainty for Quasi-Experiments
by: Rambachan, Ashesh, et al.
Published: (2020)

Experimental Design under Network Interference
by: Viviano, Davide
Published: (2020)

Denoised IPW-Lasso for Heterogeneous Treatment Effect Estimation in Randomized Experiments
by: Guan, Mingqian, et al.
Published: (2025)

Using Prior Studies to Design Experiments: An Empirical Bayes Approach
by: You, Zhiheng
Published: (2026)

Revisiting Event Study Designs: Robust and Efficient Estimation
by: Borusyak, Kirill, et al.
Published: (2021)

Identification and Estimation in Fuzzy Regression Discontinuity Designs with Covariates
by: Caetano, Carolina, et al.
Published: (2026)

A Formal Theory of Survey Experiment Generalizability: Attention and Salience
by: Fu, Jiawei, et al.
Published: (2024)

Using SVM to Estimate and Predict Binary Choice Models
by: Chang, Yoosoon, et al.
Published: (2026)

A Distance Covariance-based Estimator
by: Tsyawo, Emmanuel Selorm, et al.
Published: (2021)

Experimental Design For Causal Inference Through An Optimization Lens
by: Zhao, Jinglong
Published: (2024)

Slope Consistency of Quasi-Maximum Likelihood Estimator for Binary Choice Models
by: Chang, Yoosoon, et al.
Published: (2025)

Experimental Design for Matching
by: Wang, Chonghuan
Published: (2026)

Prior-Free Sample Size Design for Test-and-Roll Experiments
by: Kawato, Kentaro, et al.
Published: (2026)

Experimental Designs for Multi-Item Multi-Period Inventory Control
by: Chen, Xinqi, et al.
Published: (2025)

Design-Based and Network Sampling-Based Uncertainties in Network Experiments
by: Sakamoto, Kensuke, et al.
Published: (2025)

Boundary Discontinuity Designs: Theory and Practice
by: Cattaneo, Matias D., et al.
Published: (2025)

Higher-Order Causal Message Passing for Experimentation with Complex Interference
by: Bayati, Mohsen, et al.
Published: (2024)

Counting Defiers: A Design-Based Model of an Experiment Can Reveal Evidence Beyond the Average Effect
by: Christy, Neil, et al.
Published: (2024)

Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective
by: Zhao, Jinglong, et al.
Published: (2022)

Finite Population Inference for Factorial Designs and Panel Experiments with Imperfect Compliance
by: Picchetti, Pedro
Published: (2026)

Improving volatility forecasts of the Nikkei 225 stock index using a realized EGARCH model with realized and realized range-based volatilities
by: Chang, Yaming
Published: (2025)

ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments
by: Sun, Ke, et al.
Published: (2024)

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

Bridging Stratification and Regression Adjustment: Batch-Adaptive Stratification with Post-Design Adjustment in Randomized Experiments
by: Li, Zikai
Published: (2025)

Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory
by: Gilbert, Joshua B., et al.
Published: (2024)

Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs
by: Sawada, Masayuki, et al.
Published: (2024)