The Informativeness of Combined Experimental and Observational Data under Dynamic Selection
Fuente:
arXiv
Saved in:
| Main Authors: | Park, Yechan, Sasaki, Yuya |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data
by: Park, Yechan, et al.
Published: (2024)
by: Park, Yechan, et al.
Published: (2024)
Matching $\leq$ Hybrid $\leq$ Difference in Differences
by: Park, Yechan, et al.
Published: (2024)
by: Park, Yechan, et al.
Published: (2024)
GMM and M Estimation under Network Dependence
by: Sasaki, Yuya
Published: (2025)
by: Sasaki, Yuya
Published: (2025)
Slow Movers in Panel Data
by: Sasaki, Yuya, et al.
Published: (2021)
by: Sasaki, Yuya, et al.
Published: (2021)
Extreme Quantile Treatment Effects under Endogeneity: Evaluating Policy Effects for the Most Vulnerable Individuals
by: Sasaki, Yuya, et al.
Published: (2024)
by: Sasaki, Yuya, et al.
Published: (2024)
Algorithmic subsampling under multiway clustering
by: Chiang, Harold D., et al.
Published: (2021)
by: Chiang, Harold D., et al.
Published: (2021)
Genuinely Robust Inference for Clustered Data
by: Chiang, Harold D., et al.
Published: (2023)
by: Chiang, Harold D., et al.
Published: (2023)
Heterogeneous Effects of Endogenous Treatments with Interference and Spillovers in a Large Network
by: Chen, Lin, et al.
Published: (2025)
by: Chen, Lin, et al.
Published: (2025)
Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method
by: Sasaki, Yuya, et al.
Published: (2022)
by: Sasaki, Yuya, et al.
Published: (2022)
The Identification Power of Combining Experimental and Observational Data for Distributional Treatment Effect Parameters
by: Sakaguchi, Shosei
Published: (2025)
by: Sakaguchi, Shosei
Published: (2025)
Extremal Quantiles under Two-Way Clustering
by: Chiang, Harold D., et al.
Published: (2024)
by: Chiang, Harold D., et al.
Published: (2024)
Decomposition of Spillover Effects Under Misspecification: Pseudo-true Estimands and a Local-Global Extension
by: Park, Yechan, et al.
Published: (2026)
by: Park, Yechan, et al.
Published: (2026)
Robust Econometrics for Growth-at-Risk
by: Adrian, Tobias, et al.
Published: (2025)
by: Adrian, Tobias, et al.
Published: (2025)
Non-Existent Moments of Earnings Growth
by: Sarpietro, Silvia, et al.
Published: (2022)
by: Sarpietro, Silvia, et al.
Published: (2022)
Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data
by: Lee, Ji Hyung, et al.
Published: (2022)
by: Lee, Ji Hyung, et al.
Published: (2022)
Inference on Buffer‐Stock Saving
by: Hao Dong, et al.
Published: (2026)
by: Hao Dong, et al.
Published: (2026)
Estimation and Inference for Causal Functions with Multiway Clustered Data
by: Liu, Nan, et al.
Published: (2024)
by: Liu, Nan, et al.
Published: (2024)
Nonparametric Regression under Cluster Sampling
by: Shimizu, Yuya
Published: (2024)
by: Shimizu, Yuya
Published: (2024)
Using Experiments to Correct for Selection in Observational Studies
by: Athey, Susan, et al.
Published: (2020)
by: Athey, Susan, et al.
Published: (2020)
Root-$n$ Asymptotically Normal Maximum Score Estimation
by: Liu, Nan, et al.
Published: (2026)
by: Liu, Nan, et al.
Published: (2026)
High-Dimensional Tail Index Regression
by: Sasaki, Yuya, et al.
Published: (2024)
by: Sasaki, Yuya, et al.
Published: (2024)
Design-Based and Network Sampling-Based Uncertainties in Network Experiments
by: Sakamoto, Kensuke, et al.
Published: (2025)
by: Sakamoto, Kensuke, et al.
Published: (2025)
Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
by: Yang, Xuelin, et al.
Published: (2025)
by: Yang, Xuelin, et al.
Published: (2025)
Analysis of Distributional Dynamics for Repeated Cross-Sectional and Intra-Period Observations
by: Hu, Bo, et al.
Published: (2025)
by: Hu, Bo, et al.
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)
A Double Machine Learning Approach to Combining Experimental and Observational Data
by: Parikh, Harsh, et al.
Published: (2023)
by: Parikh, Harsh, et al.
Published: (2023)
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)
by: Ghassami, AmirEmad, et al.
Published: (2022)
Doubly Robust Estimators with Weak Overlap
by: Ma, Yukun, et al.
Published: (2023)
by: Ma, Yukun, et al.
Published: (2023)
Identification of Long-Term Treatment Effects via Temporal Links, Observational, and Experimental Data
by: Obradović, Filip
Published: (2024)
by: Obradović, Filip
Published: (2024)
Nonparametric Uniform Inference in Binary Classification and Policy Values
by: Liu, Nan, et al.
Published: (2025)
by: Liu, Nan, et al.
Published: (2025)
Linear Regressions with Combined Data
by: D'Haultfoeuille, Xavier, et al.
Published: (2024)
by: D'Haultfoeuille, Xavier, et al.
Published: (2024)
Identification and Estimation of Consumers' Preferences from Repeated Observations under Nonlinear Pricing
by: Centorrino, Samuele, et al.
Published: (2026)
by: Centorrino, Samuele, et al.
Published: (2026)
Externally Valid Selection of Experimental Sites via the k-Median Problem
by: Olea, José Luis Montiel, et al.
Published: (2024)
by: Olea, José Luis Montiel, et al.
Published: (2024)
Experimental Design under Network Interference
by: Viviano, Davide
Published: (2020)
by: Viviano, Davide
Published: (2020)
Switchback Experiments under Geometric Mixing
by: Hu, Yuchen, et al.
Published: (2022)
by: Hu, Yuchen, et al.
Published: (2022)
Interpreting TSLS Estimators in Information Provision Experiments
by: Vilfort, Vod, et al.
Published: (2023)
by: Vilfort, Vod, et al.
Published: (2023)
Identifying Causal Effects in Information Provision Experiments
by: Balla-Elliott, Dylan
Published: (2023)
by: Balla-Elliott, Dylan
Published: (2023)
Minimax-Regret Sample Selection in Randomized Experiments
by: Hu, Yuchen, et al.
Published: (2024)
by: Hu, Yuchen, et al.
Published: (2024)
On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Large Global Volatility Matrix Analysis Based on Observation Structural Information
by: Choi, Sung Hoon, et al.
Published: (2023)
by: Choi, Sung Hoon, et al.
Published: (2023)
Similar Items
-
A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data
by: Park, Yechan, et al.
Published: (2024) -
Matching $\leq$ Hybrid $\leq$ Difference in Differences
by: Park, Yechan, et al.
Published: (2024) -
GMM and M Estimation under Network Dependence
by: Sasaki, Yuya
Published: (2025) -
Slow Movers in Panel Data
by: Sasaki, Yuya, et al.
Published: (2021) -
Extreme Quantile Treatment Effects under Endogeneity: Evaluating Policy Effects for the Most Vulnerable Individuals
by: Sasaki, Yuya, et al.
Published: (2024)