Saved in:
| Main Authors: | Kitagawa, Toru, Rowley, Jeff |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.00379 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Policy Choice in Time Series by Empirical Welfare Maximization
by: Kitagawa, Toru, et al.
Published: (2022)
by: Kitagawa, Toru, et al.
Published: (2022)
Who With Whom? Learning Optimal Matching Policies
by: Hazard, Yagan, et al.
Published: (2025)
by: Hazard, Yagan, et al.
Published: (2025)
Leave No One Undermined: Policy Targeting with Regret Aversion
by: Kitagawa, Toru, et al.
Published: (2025)
by: Kitagawa, Toru, et al.
Published: (2025)
SVARs with breaks: Identification and inference
by: Bacchiocchi, Emanuele, et al.
Published: (2024)
by: Bacchiocchi, Emanuele, et al.
Published: (2024)
Locally- but not Globally-identified SVARs
by: Bacchiocchi, Emanuele, et al.
Published: (2025)
by: Bacchiocchi, Emanuele, et al.
Published: (2025)
Individualized Treatment Allocation in Sequential Network Games
by: Kitagawa, Toru, et al.
Published: (2023)
by: Kitagawa, Toru, et al.
Published: (2023)
On global identification in structural vector autoregressions
by: Bacchiocchi, Emanuele, et al.
Published: (2021)
by: Bacchiocchi, Emanuele, et al.
Published: (2021)
Identification-aware Markov chain Monte Carlo
by: Kitagawa, Toru, et al.
Published: (2025)
by: Kitagawa, Toru, et al.
Published: (2025)
Adaptive Experimental Design for Policy Learning
by: Kato, Masahiro, et al.
Published: (2024)
by: Kato, Masahiro, et al.
Published: (2024)
Evidence Aggregation for Treatment Choice
by: Ishihara, Takuya, et al.
Published: (2021)
by: Ishihara, Takuya, et al.
Published: (2021)
Nonlinearity in Dynamic Causal Effects: Making the Bad into the Good, and the Good into the Great?
by: Kitagawa, Toru, et al.
Published: (2025)
by: Kitagawa, Toru, et al.
Published: (2025)
Policy Learning with $α$-Expected Welfare
by: Fan, Yanqin, et al.
Published: (2025)
by: Fan, Yanqin, et al.
Published: (2025)
Treatment Choice with Nonlinear Regret
by: Kitagawa, Toru, et al.
Published: (2022)
by: Kitagawa, Toru, et al.
Published: (2022)
Partially identified heteroskedastic SVARs
by: Bacchiocchi, Emanuele, et al.
Published: (2024)
by: Bacchiocchi, Emanuele, et al.
Published: (2024)
On the Lower Confidence Band for the Optimal Welfare in Policy Learning
by: Ponomarev, Kirill, et al.
Published: (2024)
by: Ponomarev, Kirill, et al.
Published: (2024)
Data-Automated Policy Learning for Nonlinear Welfare
by: Ai, Chunrong, et al.
Published: (2026)
by: Ai, Chunrong, et al.
Published: (2026)
Policy Learning with Distributional Welfare
by: Cui, Yifan, et al.
Published: (2023)
by: Cui, Yifan, et al.
Published: (2023)
Evaluating the Impact of Regulatory Policies on Social Welfare in Difference-in-Difference Settings
by: Ghanem, Dalia, et al.
Published: (2023)
by: Ghanem, Dalia, et al.
Published: (2023)
Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory
by: Dominitz, Jeff, et al.
Published: (2024)
by: Dominitz, Jeff, et al.
Published: (2024)
Utilitarian or Quantile-Welfare Evaluation of Social Welfare? With Application to Health Cost-Effectiveness Analysis
by: Manski, Charles F., et al.
Published: (2025)
by: Manski, Charles F., et al.
Published: (2025)
Empirical Welfare Maximization with Constraints
by: Sun, Liyang
Published: (2021)
by: Sun, Liyang
Published: (2021)
Bayesian Inference for Multidimensional Welfare Comparisons
by: Gunawan, David, et al.
Published: (2024)
by: Gunawan, David, et al.
Published: (2024)
Empirical Welfare Analysis with Hedonic Budget Constraints
by: Bhattacharya, Debopam, et al.
Published: (2024)
by: Bhattacharya, Debopam, et al.
Published: (2024)
Animal Welfare and Policy Risk Index (AWPRI): Constructing and Validating a Cross-National Governance Risk Measure, 25 Countries, 2004-2022
by: Hung, Jason
Published: (2026)
by: Hung, Jason
Published: (2026)
State Space Model of Realized Volatility under the Existence of Dependent Market Microstructure Noise
by: Yano, Toru
Published: (2024)
by: Yano, Toru
Published: (2024)
Inference on Welfare and Value Functionals under Optimal Treatment Assignment
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Valid Post-Contextual Bandit Inference
by: Akker, Ramon van den, et al.
Published: (2025)
by: Akker, Ramon van den, et al.
Published: (2025)
Welfare Analysis in Dynamic Models
by: Chernozhukov, Victor, et al.
Published: (2019)
by: Chernozhukov, Victor, et al.
Published: (2019)
Price-Based Attention and Welfare
by: Patel, Kaushil
Published: (2025)
by: Patel, Kaushil
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)
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
by: Zhan, Ruohan, et al.
Published: (2021)
by: Zhan, Ruohan, et al.
Published: (2021)
Consumer Welfare Under Individual Heterogeneity
by: Gauthier, Charles, et al.
Published: (2023)
by: Gauthier, Charles, et al.
Published: (2023)
Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Using Ordinal Voting to Compare the Utilitarian Welfare of a Status Quo and A Proposed Policy: A Simple Nonparametric Analysis
by: Manski, Charles F.
Published: (2024)
by: Manski, Charles F.
Published: (2024)
Policy Learning with New Treatments
by: Higbee, Samuel
Published: (2022)
by: Higbee, Samuel
Published: (2022)
Nonparametric Bayesian Policy Learning
by: Ye, Haonan
Published: (2026)
by: Ye, Haonan
Published: (2026)
Zero-Inflated Bandits
by: Wei, Haoyu, et al.
Published: (2023)
by: Wei, Haoyu, et al.
Published: (2023)
Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits
by: Hirano, Keisuke, et al.
Published: (2023)
by: Hirano, Keisuke, et al.
Published: (2023)
Welfare at Risk: Distributional impact of policy interventions
by: Lambros, Costas, et al.
Published: (2025)
by: Lambros, Costas, et al.
Published: (2025)
Fast Learning of Optimal Policy Trees
by: Cussens, James, et al.
Published: (2025)
by: Cussens, James, et al.
Published: (2025)
Similar Items
-
Policy Choice in Time Series by Empirical Welfare Maximization
by: Kitagawa, Toru, et al.
Published: (2022) -
Who With Whom? Learning Optimal Matching Policies
by: Hazard, Yagan, et al.
Published: (2025) -
Leave No One Undermined: Policy Targeting with Regret Aversion
by: Kitagawa, Toru, et al.
Published: (2025) -
SVARs with breaks: Identification and inference
by: Bacchiocchi, Emanuele, et al.
Published: (2024) -
Locally- but not Globally-identified SVARs
by: Bacchiocchi, Emanuele, et al.
Published: (2025)