:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tian, Tian, Deng, Jiahao
Format:	Preprint
Published:	2024
Subjects:	Econometrics
Online Access:	https://arxiv.org/abs/2405.01913
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Decision-Making under Model Misspecification
by: Dai, Xinyu
Published: (2025)

Machine Learning for Detecting Collusion and Capacity Withholding in Wholesale Electricity Markets
by: Proz, Jeremy, et al.
Published: (2025)

Return and Volatility Forecasting Using On-Chain Flows in Cryptocurrency Markets
by: Chi, Yeguang, et al.
Published: (2024)

Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making
by: He, Liu
Published: (2026)

Modelling and Forecasting Energy Market Volatility Using GARCH and Machine Learning Approach
by: Chung, Seulki
Published: (2024)

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies
by: Muny, Fabian
Published: (2025)

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions
by: Hazenberg, Thomas, et al.
Published: (2025)

Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
by: Bodory, Hugo, et al.
Published: (2024)

Coping with Inductive Risk When Theories are Underdetermined: Decision Making with Partial Identification
by: Manski, Charles F.
Published: (2026)

Inference on Partially Identified Parameters with Separable Nuisance Parameters: a Two-Stage Method
by: Tian, Xunkang
Published: (2025)

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

Using Aggregate Relational Data to Infer Social Networks
by: Tian, Xunkang
Published: (2025)

Compound Selection Decisions: An Almost SURE Approach
by: Chen, Jiafeng, et al.
Published: (2025)

Estimating the Value of Evidence-Based Decision Making
by: Abadie, Alberto, et al.
Published: (2023)

Methodological Evaluation of Industrial Machinery Fleets in South Africa Using Panel Data for Efficiency Measurement
by: Mkhize, Fikile, et al.
Published: (2007)

Automatic Inference for Value-Added Regressions
by: Xie, Tian
Published: (2025)

Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
by: Chang, Jinyuan, et al.
Published: (2024)

Enhancing the Merger Simulation Toolkit with ML/AI
by: Chiang, Harold D., et al.
Published: (2025)

Scenario Analysis with Multivariate Bayesian Machine Learning Models
by: Pfarrhofer, Michael, et al.
Published: (2025)

Decision Conflict, Power Logit, and the Deferral Outside Option
by: Gerasimou, Georgios
Published: (2020)

Inference for Regression with Variables Generated by AI or Machine Learning
by: Battaglia, Laura, et al.
Published: (2024)

Reinforcement Learning in High-frequency Market Making
by: Zheng, Yuheng, et al.
Published: (2024)

Budget-Constrained Causal Bandits: Bridging Uplift Modeling and Sequential Decision-Making
by: Pillai, Abhirami
Published: (2026)

Regional Price Dynamics and Market Integration in the U.S. Beef Industry: An Econometric Analysis
by: Manríquez-Méndez, Leonardo
Published: (2025)

Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
by: Bach, Philipp, et al.
Published: (2024)

Comprehensive Causal Machine Learning
by: Lechner, Michael, et al.
Published: (2024)

Market Sensitivities and Growth Differentials Across Australian Housing Markets
by: Sijp, Willem P
Published: (2025)

On Bayesian Filtering for Markov Regime Switching Models
by: Hashimzade, Nigar, et al.
Published: (2024)

Bayesian Markov-Switching Vector Autoregressive Process
by: Gankhuu, Battulga
Published: (2024)

Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects
by: Hirsch, Simon, et al.
Published: (2023)

Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
by: Schwarz, Philipp, et al.
Published: (2024)

Double Machine Learning for Time Series
by: Ciganovic, Milos, et al.
Published: (2026)

Debiased Machine Learning U-statistics
by: Escanciano, Juan Carlos, et al.
Published: (2022)

Algorithmic Feature Highlighting for Human-AI Decision-Making
by: Guo, Yifan, et al.
Published: (2026)

The Mixed Aggregate Preference Logit Model: A Machine Learning Approach to Modeling Unobserved Heterogeneity in Discrete Choice Analysis
by: Forsythe, Connor R., et al.
Published: (2024)

Dynamic Evolutionary Game Analysis of How Fintech in Banking Mitigates Risks in Agricultural Supply Chain Finance
by: Wan, Qiang, et al.
Published: (2024)

On the Asymptotic Properties of Debiased Machine Learning Estimators
by: Velez, Amilcar
Published: (2024)

On the (Mis)Use of Machine Learning with Panel Data
by: Cerqua, Augusto, et al.
Published: (2024)

Machine Learning the Macroeconomic Effects of Financial Shocks
by: Hauzenberger, Niko, et al.
Published: (2024)

Bayesian Double Machine Learning for Causal Inference
by: DiTraglia, Francis J., et al.
Published: (2025)