:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Blattner, Laura, Nelson, Scott, Spiess, Jann
Format:	Preprint
Published:	2021
Subjects:	General Economics Economics Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2110.03443
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Algorithmic Assistance with Recommendation-Dependent Preferences
by: McLaughlin, Bryce, et al.
Published: (2022)

Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
by: Pataranutaporn, Pat, et al.
Published: (2025)

Black Box Absorption: LLMs Undermining Innovative Ideas
by: Cao, Wenjun
Published: (2025)

Computational Basis of LLM's Decision Making in Social Simulation
by: Ma, Ji
Published: (2025)

Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
by: Tripathy, Jagdish, et al.
Published: (2026)

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
by: Buijsman, Stefan, et al.
Published: (2025)

Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
by: Punati, Santhi Bharath, et al.
Published: (2025)

Social Environment Design
by: Zhang, Edwin, et al.
Published: (2024)

Cracking the Code: Enhancing Development finance understanding with artificial intelligence
by: Beaucoral, Pierre
Published: (2025)

Reinforcement Learning and Consumption-Savings Behavior
by: Kaplowitz, Brandon
Published: (2025)

Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization
by: Mahmoud, Imen, et al.
Published: (2025)

Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach
by: Lu, Wei, et al.
Published: (2025)

Retrieval Augmented Generation for Topic Modeling in Organizational Research: An Introduction with Empirical Demonstration
by: Spielberger, Gerion, et al.
Published: (2025)

Balancing Profit and Fairness in Risk-Based Pricing Markets
by: Thibodeau, Jesse, et al.
Published: (2025)

Prediction Arena: Benchmarking AI Models on Real-World Prediction Markets
by: Zhang, Jaden, et al.
Published: (2026)

Faithful Group Shapley Value
by: Lee, Kiljae, et al.
Published: (2025)

Is there "Secret Sauce'' in Large Language Model Development?
by: Mertens, Matthias, et al.
Published: (2026)

Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon
by: Masiwal, Rajat, et al.
Published: (2026)

NoLBERT: A No Lookahead(back) Foundational Language Model
by: Kakhbod, Ali, et al.
Published: (2025)

Adventures in Demand Analysis Using AI
by: Bach, Philipp, et al.
Published: (2024)

Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support
by: Haag, Felix, et al.
Published: (2024)

SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive market
by: Ding, Ruixin, et al.
Published: (2023)

Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
by: Schmitt, Marc
Published: (2024)

NourishNet: Proactive Severity State Forecasting of Food Commodity Prices for Global Warning Systems
by: Balboni, Sydney, et al.
Published: (2024)

Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025)

AI and the Dynamic Supply of Training Data
by: Peukert, Christian, et al.
Published: (2024)

Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
by: Nandini, Durgesh, et al.
Published: (2024)

Tacit algorithmic collusion in deep reinforcement learning guided price competition: A study using EV charge pricing game
by: Paudel, Diwas, et al.
Published: (2024)

Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers
by: Solatorio, Aivin V., et al.
Published: (2024)

Designing probabilistic AI monsoon forecasts to inform agricultural decision-making
by: Aitken, Colin, et al.
Published: (2026)

Beyond Interaction Effects: Two Logics for Studying Population Inequalities
by: Daoud, Adel
Published: (2025)

Can Base ChatGPT be Used for Forecasting without Additional Optimization?
by: Pham, Van, et al.
Published: (2024)

A Scoping Review of ChatGPT Research in Accounting and Finance
by: Dong, Mengming Michael, et al.
Published: (2024)

Leveraging Large Language Models to Democratize Access to Costly Datasets for Academic Research
by: Wang, Julian Junyan, et al.
Published: (2024)

Deep Learning for Art Market Valuation
by: Mei, Jianping, et al.
Published: (2025)

Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making
by: Ma, Heyang, et al.
Published: (2025)

Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach
by: He, Jun, et al.
Published: (2024)

ADAGE: A generic two-layer framework for adaptive agent based modelling
by: Evans, Benjamin Patrick, et al.
Published: (2025)

When Should Neural Data Inform Welfare? A Critical Framework for Policy Uses of Neuroeconomics
by: Yiven, et al.
Published: (2025)

Can AI Help with Your Personal Finances?
by: Hean, Oudom, et al.
Published: (2024)