Saved in:
| Main Authors: | Chen, Songnian, Feng, Junlong |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2307.15313 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Universal Factor Models
by: Chen, Songnian, et al.
Published: (2025)
by: Chen, Songnian, et al.
Published: (2025)
Individual Welfare Analysis: Random Quasilinear Utility, Independence, and Confidence Bounds
by: Feng, Junlong, et al.
Published: (2023)
by: Feng, Junlong, et al.
Published: (2023)
Asymptotic Properties of the Distributional Synthetic Controls
by: Zhang, Lu, et al.
Published: (2024)
by: Zhang, Lu, et al.
Published: (2024)
Changes-In-Changes For Discrete Treatment
by: Boussim, Onil
Published: (2024)
by: Boussim, Onil
Published: (2024)
Correcting Attrition Bias using Changes-in-Changes
by: Ghanem, Dalia, et al.
Published: (2022)
by: Ghanem, Dalia, et al.
Published: (2022)
Changes-in-Changes for Ordered Choice Models with Underreporting
by: Gutknecht, Daniel, et al.
Published: (2024)
by: Gutknecht, Daniel, et al.
Published: (2024)
disco: Distributional Synthetic Controls
by: Gunsilius, Florian, et al.
Published: (2025)
by: Gunsilius, Florian, et al.
Published: (2025)
Distributional Change in Ordinal Data with Missing Observations: Minimal Mobility and Partial Identification
by: Tabri, Rami V.
Published: (2026)
by: Tabri, Rami V.
Published: (2026)
Heterogeneous Grouping Structures in Panel Data
by: Chrysikou, Katerina, et al.
Published: (2024)
by: Chrysikou, Katerina, et al.
Published: (2024)
Correlated Synthetic Controls
by: Moev, Tzvetan
Published: (2025)
by: Moev, Tzvetan
Published: (2025)
On a Debiased and Semiparametric Efficient Changes-in-Changes Estimator
by: Sun, Jinghao, et al.
Published: (2025)
by: Sun, Jinghao, et al.
Published: (2025)
Distributionally Robust Synthetic Control: Ensuring Robustness Against Highly Correlated Controls and Weight Shifts
by: Koo, Taehyeon, et al.
Published: (2025)
by: Koo, Taehyeon, et al.
Published: (2025)
Difference-in-Differences with Compositional Changes
by: Sant'Anna, Pedro H. C., et al.
Published: (2023)
by: Sant'Anna, Pedro H. C., et al.
Published: (2023)
The inclusive Synthetic Control Method
by: Di Stefano, Roberta, et al.
Published: (2024)
by: Di Stefano, Roberta, et al.
Published: (2024)
Hidden Group Time Profiles: Heterogeneous Drawdown Behaviours in Retirement
by: Balnozan, Igor, et al.
Published: (2020)
by: Balnozan, Igor, et al.
Published: (2020)
Synthetic Regressing Control
by: Zhu, Rong J. B.
Published: (2023)
by: Zhu, Rong J. B.
Published: (2023)
Synthetic Control Inference for Staggered Adoption
by: Cao, Jianfei, et al.
Published: (2019)
by: Cao, Jianfei, et al.
Published: (2019)
A Relaxation Approach to Synthetic Control
by: Liao, Chengwang, et al.
Published: (2025)
by: Liao, Chengwang, et al.
Published: (2025)
Regularization of Synthetic Controls for Policy Evaluation
by: Yi‐Ting Chen
Published: (2026)
by: Yi‐Ting Chen
Published: (2026)
Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T
by: Lu, Xun, et al.
Published: (2025)
by: Lu, Xun, et al.
Published: (2025)
Synthetic Survival Control: Extending Synthetic Controls for "When-If" Decision
by: Han, Jessy Xinyi, et al.
Published: (2025)
by: Han, Jessy Xinyi, et al.
Published: (2025)
Synthetic Controls for Experimental Design
by: Abadie, Alberto, et al.
Published: (2021)
by: Abadie, Alberto, et al.
Published: (2021)
The Harmonic Synthetic Control Method
by: Liu, Ziyi, et al.
Published: (2026)
by: Liu, Ziyi, et al.
Published: (2026)
Detection Boundaries for Panel Slope Homogeneity Tests Under Small-Group Heterogeneity
by: Raiola, Antonio, et al.
Published: (2025)
by: Raiola, Antonio, et al.
Published: (2025)
Estimation and Inference for Synthetic Control Methods with Spillover Effects
by: Cao, Jianfei, et al.
Published: (2019)
by: Cao, Jianfei, et al.
Published: (2019)
Synthetic Controls with spillover effects: A comparative study
by: Melnychuk, Andrii
Published: (2024)
by: Melnychuk, Andrii
Published: (2024)
Bayesian and Frequentist Inference for Synthetic Controls
by: Martinez, Ignacio, et al.
Published: (2022)
by: Martinez, Ignacio, et al.
Published: (2022)
Temporal Aggregation for the Synthetic Control Method
by: Sun, Liyang, et al.
Published: (2024)
by: Sun, Liyang, et al.
Published: (2024)
Synthetic Control Misconceptions: Recommendations for Practice
by: Pickett, Robert, et al.
Published: (2026)
by: Pickett, Robert, et al.
Published: (2026)
A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls
by: Fry, Joseph
Published: (2023)
by: Fry, Joseph
Published: (2023)
Identification and Bayesian Inference for Synthetic Control Methods with Spillover Effects
by: Sakaguchi, Shosei, et al.
Published: (2024)
by: Sakaguchi, Shosei, et al.
Published: (2024)
Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
by: Cattaneo, Matias D., et al.
Published: (2022)
by: Cattaneo, Matias D., et al.
Published: (2022)
Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation
by: Xu, Ruofan, et al.
Published: (2022)
by: Xu, Ruofan, et al.
Published: (2022)
Change-Point Detection in Time Series Using Mixed Integer Programming
by: Prokhorov, Artem, et al.
Published: (2024)
by: Prokhorov, Artem, et al.
Published: (2024)
A Robust Residual-Based Test for Structural Changes in Factor Models
by: Peng, Bin, et al.
Published: (2024)
by: Peng, Bin, et al.
Published: (2024)
Time-Aware Synthetic Control
by: Rho, Saeyoung, et al.
Published: (2026)
by: Rho, Saeyoung, et al.
Published: (2026)
A Way to Synthetic Triple Difference
by: Zhuang, Castiel Chen
Published: (2024)
by: Zhuang, Castiel Chen
Published: (2024)
Difference-in-Differences Meets Synthetic Control: Doubly Robust Identification and Estimation
by: Sun, Yixiao, et al.
Published: (2025)
by: Sun, Yixiao, et al.
Published: (2025)
Tractable Unified Skew-t Distribution and Copula for Heterogeneous Asymmetries
by: Deng, Lin, et al.
Published: (2025)
by: Deng, Lin, et al.
Published: (2025)
Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes
by: Fernandez-Val, Ivan, et al.
Published: (2022)
by: Fernandez-Val, Ivan, et al.
Published: (2022)
Similar Items
-
Universal Factor Models
by: Chen, Songnian, et al.
Published: (2025) -
Individual Welfare Analysis: Random Quasilinear Utility, Independence, and Confidence Bounds
by: Feng, Junlong, et al.
Published: (2023) -
Asymptotic Properties of the Distributional Synthetic Controls
by: Zhang, Lu, et al.
Published: (2024) -
Changes-In-Changes For Discrete Treatment
by: Boussim, Onil
Published: (2024) -
Correcting Attrition Bias using Changes-in-Changes
by: Ghanem, Dalia, et al.
Published: (2022)