:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Cerulli, Giovanni
Format:	Preprint
Publié:	2025
Sujets:	Econometrics
Accès en ligne:	https://arxiv.org/abs/2509.06851
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Risk-Adjusted Policy Learning and the Social Cost of Uncertainty: Theory and Evidence from CAP evaluation
par: Cerulli, Giovanni, et autres
Publié: (2025)

biastest: Testing parameter equality across different models in Stata
par: Guliyev, Hasraddin
Publié: (2025)

ddml: Double/debiased machine learning in Stata
par: Ahrens, Achim, et autres
Publié: (2023)

Testing and Estimating Structural Breaks in Time Series and Panel Data in Stata
par: Ditzen, Jan, et autres
Publié: (2021)

$\texttt{rdid}$ and $\texttt{rdidstag}$: Stata commands for robust difference-in-differences
par: Ban, Kyunghoon, et autres
Publié: (2024)

PySDTest: a Python/Stata Package for Stochastic Dominance Tests
par: Lee, Kyungho, et autres
Publié: (2023)

Optimal Policy Learning with Observational Data in Multi-Action Scenarios: Estimation, Risk Preference, and Potential Failures
par: Cerulli, Giovanni
Publié: (2024)

Policy Learning with New Treatments
par: Higbee, Samuel
Publié: (2022)

Fast Learning of Optimal Policy Trees
par: Cussens, James, et autres
Publié: (2025)

Semiparametric Efficiency in Policy Learning with General Treatments
par: Fang, Yue, et autres
Publié: (2025)

Data-Driven Policy Learning for Continuous Treatments
par: Ai, Chunrong, et autres
Publié: (2024)

Who With Whom? Learning Optimal Matching Policies
par: Hazard, Yagan, et autres
Publié: (2025)

Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
par: Tan, Jiyuan, et autres
Publié: (2026)

Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data
par: Sakaguchi, Shosei
Publié: (2024)

Inequality Sensitive Optimal Treatment Assignment
par: Zambrano, Eduardo
Publié: (2024)

Optimal Treatment Allocation under Constraints
par: Johansen, Torben S. D.
Publié: (2024)

Optimal Policy Choices Under Uncertainty
par: Moon, Sarah
Publié: (2025)

Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints
par: Sakaguchi, Shosei
Publié: (2021)

US Monetary Policy and Indeterminacy
par: Giovanni Nicolò
Publié: (2025)

Policy Relevant Treatment Effects with Multidimensional Unobserved Heterogeneity
par: Ura, Takuya, et autres
Publié: (2024)

Quantile-Optimal Policy Learning under Unmeasured Confounding
par: Chen, Zhongren, et autres
Publié: (2025)

On the Lower Confidence Band for the Optimal Welfare in Policy Learning
par: Ponomarev, Kirill, et autres
Publié: (2024)

Regularizing Fairness in Optimal Policy Learning with Distributional Targets
par: Kock, Anders Bredahl, et autres
Publié: (2024)

Inference on Welfare and Value Functionals under Optimal Treatment Assignment
par: Chen, Xiaohong, et autres
Publié: (2025)

Treatment Effects of Multi-Valued Treatments in Hyper-Rectangle Model
par: Tian, Xunkang
Publié: (2025)

Dynamically Optimal Treatment Allocation
par: Adusumilli, Karun, et autres
Publié: (2019)

Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
par: Bodory, Hugo, et autres
Publié: (2024)

Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: An Unconditional MTE Approach
par: Martinez-Iriarte, Julian, et autres
Publié: (2020)

SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
par: Cho, Brian, et autres
Publié: (2025)

Nonparametric Bayesian Policy Learning
par: Ye, Haonan
Publié: (2026)

Policy Learning with $α$-Expected Welfare
par: Fan, Yanqin, et autres
Publié: (2025)

Animal Welfare and Policy Risk Index (AWPRI): Constructing and Validating a Cross-National Governance Risk Measure, 25 Countries, 2004-2022
par: Hung, Jason
Publié: (2026)

Sensitivity of Policy‐Relevant Treatment Parameters to Violations of Monotonicity
par: Luther Yap
Publié: (2025)

Policy Learning with Confidence
par: Chernozhukov, Victor, et autres
Publié: (2025)

ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments
par: Sun, Ke, et autres
Publié: (2024)

Learning Preferences from Conjoint Data: A Structural Deep Learning Approach
par: Acharya, Avidit, et autres
Publié: (2026)

Qini Curves for Multi-Armed Treatment Rules
par: Sverdrup, Erik, et autres
Publié: (2023)

Estimating Continuous Treatment Effects in Panel Data using Machine Learning with a Climate Application
par: Klosin, Sylvia, et autres
Publié: (2022)

Policy Learning under Endogeneity Using Instrumental Variables
par: Liu, Yan
Publié: (2022)

Policy-relevant causal effect estimation using instrumental variables with interference
par: Nibbering, Didier, et autres
Publié: (2025)