Estimating the Value of Evidence-Based Decision Making
Fuente:
arXiv
Saved in:
| Main Authors: | Abadie, Alberto, Agarwal, Anish, Imbens, Guido, Jia, Siwei, McQueen, James, Stepaniants, Serguei, Torres, Santiago |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Causal Inference Framework for Data Rich Environments
by: Abadie, Alberto, et al.
Published: (2025)
by: Abadie, Alberto, et al.
Published: (2025)
Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)
by: Abadie, Alberto, et al.
Published: (2024)
Comparing Experimental and Nonexperimental Methods: What Lessons Have We Learned Four Decades After LaLonde (1986)?
by: Imbens, Guido, et al.
Published: (2024)
by: Imbens, Guido, et al.
Published: (2024)
Triply Robust Panel Estimators
by: Athey, Susan, et al.
Published: (2025)
by: Athey, Susan, et al.
Published: (2025)
Using Experiments to Correct for Selection in Observational Studies
by: Athey, Susan, et al.
Published: (2020)
by: Athey, Susan, et al.
Published: (2020)
PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025)
by: Ghosh, Aditya, et al.
Published: (2025)
Computationally Efficient Estimation of Large Probit Models
by: Ding, Patrick, et al.
Published: (2024)
by: Ding, Patrick, et al.
Published: (2024)
Identification of Average Treatment Effects in Nonparametric Panel Models
by: Athey, Susan, et al.
Published: (2025)
by: Athey, Susan, et al.
Published: (2025)
Synthetic Controls for Experimental Design
by: Abadie, Alberto, et al.
Published: (2021)
by: Abadie, Alberto, et al.
Published: (2021)
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)
by: Qu, Zhaonan, et al.
Published: (2021)
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index
by: Athey, Susan, et al.
Published: (2016)
by: Athey, Susan, et al.
Published: (2016)
Exact P-values for Network Interference
by: Athey, Susan, et al.
Published: (2015)
by: Athey, Susan, et al.
Published: (2015)
Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation
by: DellaVigna, Stefano, et al.
Published: (2025)
by: DellaVigna, Stefano, et al.
Published: (2025)
Robust Matrix Estimation with Side Information
by: Agarwal, Anish, et al.
Published: (2026)
by: Agarwal, Anish, et al.
Published: (2026)
Synthetic Difference in Differences
by: Arkhangelsky, Dmitry, et al.
Published: (2018)
by: Arkhangelsky, Dmitry, et al.
Published: (2018)
Long-term Causal Inference Under Persistent Confounding via Data Combination
by: Imbens, Guido, et al.
Published: (2022)
by: Imbens, Guido, et al.
Published: (2022)
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
by: Agarwal, Abhineet, et al.
Published: (2023)
by: Agarwal, Abhineet, et al.
Published: (2023)
Design-Robust Two-Way-Fixed-Effects Regression For Panel Data
by: Arkhangelsky, Dmitry, et al.
Published: (2021)
by: Arkhangelsky, Dmitry, et al.
Published: (2021)
Causal clustering: design of cluster experiments under network interference
by: Viviano, Davide, et al.
Published: (2023)
by: Viviano, Davide, et al.
Published: (2023)
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)
Adaptive Principal Component Regression with Applications to Panel Data
by: Agarwal, Anish, et al.
Published: (2023)
by: Agarwal, Anish, et al.
Published: (2023)
Critical Values Robust to P-hacking
by: McCloskey, Adam, et al.
Published: (2020)
by: McCloskey, Adam, et al.
Published: (2020)
Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment Effects
by: Agarwal, Anish, et al.
Published: (2022)
by: Agarwal, Anish, et al.
Published: (2022)
Evaluating A/B Testing Methodologies via Sample Splitting: Theory and Practice
by: Kessler, Ryan, et al.
Published: (2025)
by: Kessler, Ryan, et al.
Published: (2025)
Uniform Critical Values for Likelihood Ratio Tests in Boundary Problems
by: Cavaliere, Giuseppe, et al.
Published: (2025)
by: Cavaliere, Giuseppe, et al.
Published: (2025)
Information Based Inference in Models with Set-Valued Predictions and Misspecification
by: Kaido, Hiroaki, et al.
Published: (2024)
by: Kaido, Hiroaki, et al.
Published: (2024)
Identification and Semiparametric Estimation of Conditional Means from Aggregate Data
by: McCartan, Cory, et al.
Published: (2025)
by: McCartan, Cory, et al.
Published: (2025)
Tweedie Calculus
by: Torres, Santiago
Published: (2026)
by: Torres, Santiago
Published: (2026)
Automatic Inference for Value-Added Regressions
by: Xie, Tian
Published: (2025)
by: Xie, Tian
Published: (2025)
Estimating Factor-Based Spot Volatility Matrices with Noisy and Asynchronous High-Frequency Data
by: Li, Degui, et al.
Published: (2024)
by: Li, Degui, et al.
Published: (2024)
Optimal Decision Rules when Payoffs are Partially Identified
by: Christensen, Timothy, et al.
Published: (2022)
by: Christensen, Timothy, et al.
Published: (2022)
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
by: Ngo, Daniel, et al.
Published: (2023)
by: Ngo, Daniel, et al.
Published: (2023)
Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory
by: Gilbert, Joshua B., et al.
Published: (2024)
by: Gilbert, Joshua B., et al.
Published: (2024)
Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time Series
by: Hecq, Alain, et al.
Published: (2024)
by: Hecq, Alain, et al.
Published: (2024)
Unbiased Regression-Adjusted Estimation of Average Treatment Effects in Randomized Controlled Trials
by: Abadie, Alberto, et al.
Published: (2025)
by: Abadie, Alberto, et al.
Published: (2025)
Efficient Bias Correction for Cross-section and Panel Data
by: Hahn, Jinyong, et al.
Published: (2022)
by: Hahn, Jinyong, et al.
Published: (2022)
Causal Models for Longitudinal and Panel Data: A Survey
by: Arkhangelsky, Dmitry, et al.
Published: (2023)
by: Arkhangelsky, Dmitry, et al.
Published: (2023)
Sensitivity Analysis for Linear Estimators
by: Dorn, Jacob, et al.
Published: (2023)
by: Dorn, Jacob, et al.
Published: (2023)
Semiparametric Triple Difference Estimators
by: Akbari, Sina, et al.
Published: (2025)
by: Akbari, Sina, et al.
Published: (2025)
Multiple Randomization Designs: Estimation and Inference with Interference
by: Masoero, Lorenzo, et al.
Published: (2021)
by: Masoero, Lorenzo, et al.
Published: (2021)
Similar Items
-
A Causal Inference Framework for Data Rich Environments
by: Abadie, Alberto, et al.
Published: (2025) -
Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024) -
Comparing Experimental and Nonexperimental Methods: What Lessons Have We Learned Four Decades After LaLonde (1986)?
by: Imbens, Guido, et al.
Published: (2024) -
Triply Robust Panel Estimators
by: Athey, Susan, et al.
Published: (2025) -
Using Experiments to Correct for Selection in Observational Studies
by: Athey, Susan, et al.
Published: (2020)