Cover Image

Cohort-Anchored Robust Inference for Event-Study with Staggered Adoption

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Liu, Ziyi
Format:	Preprint
Published:	2025
Subjects:	Econometrics Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
by: Cattaneo, Matias D., et al.
Published: (2022)

Bayesian Estimation of Cohort-Time-Stratum Specific Effects in Staggered Difference-in-Differences
by: Chib, Siddhartha, et al.
Published: (2025)

Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
by: Deng, Yuhao, et al.
Published: (2026)

Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions
by: Faletto, Gregory
Published: (2023)

Synthetic Control Inference for Staggered Adoption
by: Cao, Jianfei, et al.
Published: (2019)

The Harmonic Synthetic Control Method
by: Liu, Ziyi, et al.
Published: (2026)

Serial-Dependence and Persistence Robust Inference in Predictive Regressions
by: Pitarakis, Jean-Yves
Published: (2025)

Robust Estimation and Inference in Panels with Interactive Fixed Effects
by: Armstrong, Timothy B., et al.
Published: (2022)

A Practical Guide to Estimating Conditional Marginal Effects: Modern Approaches
by: Liu, Jiehan, et al.
Published: (2025)

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

Robust Inference for Multiple Predictive Regressions with an Application on Bond Risk Premia
by: Liao, Xiaosai, et al.
Published: (2024)

Exact Likelihood Inference and Robust Filtering for Gauss-Cauchy Convolution Models
by: Hansen, Peter Reinhard, et al.
Published: (2026)

Interpreting Event-Studies from Recent Difference-in-Differences Methods
by: Roth, Jonathan
Published: (2024)

Degrees of Freedom and Information Criteria for the Synthetic Control Method
by: Pouliot, Guillaume Allaire, et al.
Published: (2022)

Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study
by: Chiu, Albert, et al.
Published: (2023)

Quasi-Bayesian Estimation and Inference with Control Functions
by: Liu, Ruixuan, et al.
Published: (2024)

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

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

Double Robust Bayesian Inference on Average Treatment Effects
by: Breunig, Christoph, et al.
Published: (2022)

Prediction Sets and Conformal Inference with Interval Outcomes
by: Liu, Weiguang, et al.
Published: (2025)

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

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

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

Privacy-Protected Spatial Autoregressive Model
by: Huang, Danyang, et al.
Published: (2024)

Is Inference Conditional on Not Rejecting a Pre-test Less Reliable than Unconditional Inference?
by: de Chaisemartin, Clément, et al.
Published: (2024)

Randomization Inference with Sample Attrition
by: Li, Xinran, et al.
Published: (2025)

Asymptotic Inference for Rank Correlations
by: Pohle, Marc-Oliver, et al.
Published: (2025)

Randomization Inference: Theory and Applications
by: Ritzwoller, David M., et al.
Published: (2024)

Causal Inference for Spatial Treatments
by: Pollmann, Michael
Published: (2020)

Automatic Inference for Value-Added Regressions
by: Xie, Tian
Published: (2025)

Resistant Inference in Instrumental Variable Models
by: Klooster, Jens, et al.
Published: (2024)

Bayesian and Frequentist Inference for Synthetic Controls
by: Martinez, Ignacio, et al.
Published: (2022)

Semiparametric Inference for Regression-Discontinuity Designs
by: Jiang, Weiwei, et al.
Published: (2024)

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

Causal Inference in Counterbalanced Within-Subjects Designs
by: Ho, Justin, et al.
Published: (2025)

PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025)

Inference in Regression Discontinuity Designs with Clustered Data
by: Noack, Claudia, et al.
Published: (2026)

Unified Inference on Moment Restrictions with Nuisance Parameters
by: Li, Xingyu, et al.
Published: (2022)

Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)

Non-parametric Causal Inference in Dynamic Thresholding Designs
by: Ghosh, Aditya, et al.
Published: (2025)