Cover Image

Who is More Bayesian: Humans or ChatGPT?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mu, Tianshi, Rawat, Pranjal, Rust, John, Zhang, Chengjun, Zhong, Qixuan
Format:	Preprint
Published:	2025
Subjects:	General Economics Economics Artificial Intelligence Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximating Auction Equilibria with Reinforcement Learning
by: Rawat, Pranjal
Published: (2024)

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

Bloated Disclosures: Can ChatGPT Help Investors Process Information?
by: Kim, Alex, et al.
Published: (2023)

AI-exposed jobs deteriorated before ChatGPT
by: Frank, Morgan R., et al.
Published: (2026)

Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements
by: Ahmadi, Mahdi, et al.
Published: (2024)

A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Fast Fashion
by: Rawat, Pranjal
Published: (2024)

Recidivism and Peer Influence with LLM Text Embeddings in Low Security Correctional Facilities
by: Nath, Shanjukta, et al.
Published: (2025)

Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies
by: Ben-Michael, Eli, et al.
Published: (2024)

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

Shopping with a Platform AI Assistant: Who Adopts, When in the Journey, and What For
by: Yan, Se, et al.
Published: (2026)

A Survey of Reinforcement Learning For Economics
by: Rawat, Pranjal
Published: (2026)

Unveiling Biases in AI: ChatGPT's Political Economy Perspectives and Human Comparisons
by: Becchetti, Leonardo, et al.
Published: (2025)

Large Language Models in Student Assessment: Comparing ChatGPT and Human Graders
by: Lundgren, Magnus
Published: (2024)

BASTION: A Bayesian Framework for Trend and Seasonality Decomposition
by: Cho, Jason B., et al.
Published: (2026)

ChatGPT and Deepseek: Can They Predict the Stock Market and Macroeconomy?
by: Chen, Jian, et al.
Published: (2025)

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

Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure
by: Yin, Michelle, et al.
Published: (2026)

Views about ChatGPT: Are human decision making and human learning necessary?
by: Yamamura, Eiji, et al.
Published: (2024)

Experimenting with Generative AI: Does ChatGPT Really Increase Everyone's Productivity?
by: Nakavachara, Voraprapa, et al.
Published: (2024)

Computer says 'no': Exploring systemic bias in ChatGPT using an audit approach
by: Lippens, Louis
Published: (2023)

Designing Auctions when Algorithms Learn to Bid
by: Rawat, Pranjal
Published: (2023)

Little Impact of ChatGPT Availability on High School Student Test Score Performance
by: Huntington-Klein, Nick
Published: (2026)

Estimating the Cost of Informal Care with a Novel Two-Stage Approach to Individual Synthetic Control
by: Petrillo, Maria, et al.
Published: (2024)

Economics of Human and AI Collaboration: When is Partial Automation More Attractive than Full Automation?
by: Li, Wensu, et al.
Published: (2026)

Potato Potahto in the FAO-GAEZ Productivity Measures? Nonclassical Measurement Error with Multiple Proxies
by: Araujo, Rafael, et al.
Published: (2025)

Anchoring-Based Causal Design (ABCD): Estimating the Effects of Beliefs
by: Sulitzeanu-Kenan, Raanan, et al.
Published: (2025)

The Asset Price Channel of Monetary Policy: Evidence from Regional Stock-Market Developments in the Successor States of Former Yugoslavia
by: Tanevski, Stefan
Published: (2026)

Estimating Social Norm Complementarities
by: La Ferrara, Eliana, et al.
Published: (2026)

The Impact of Stocks on Correlations between Crop Yields and Prices and on Revenue Insurance Premiums using Semiparametric Quantile Regression
by: Stuart, Matthew, et al.
Published: (2023)

Optimal Semiparametric Dynamic Pricing with Feature Diversity
by: Chai, Jinhang, et al.
Published: (2026)

Quantifying fair income distribution in Thailand
by: Sitthiyot, Thitithep, et al.
Published: (2024)

Stochastic Monotonicity and Random Utility Models: The Good and The Ugly
by: Keffert, Henk, et al.
Published: (2024)

Global Sensitivity and Domain-Selective Testing for Functional-Valued Responses: An Application to Climate Economy Models
by: Fontana, Matteo, et al.
Published: (2020)

What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts
by: Chen, Shuaiyu, et al.
Published: (2024)

Regularized Ensemble Forecasting for Learning Weights from Historical and Current Forecasts
by: Su, Han, et al.
Published: (2026)

Human aversion? Do AI Agents Judge Identity More Harshly Than Performance
by: Feng, Yuanjun, et al.
Published: (2025)

HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery
by: Zhu, Chen, et al.
Published: (2026)

AI in the Enterprise: How People Use M365 Copilot Chat
by: Counts, Scott, et al.
Published: (2026)

Stochastic Boundaries in Spatial General Equilibrium: A Diffusion-Based Approach to Causal Inference with Spillover Effects
by: Kikuchi, Tatsuru
Published: (2025)

Monotonic Path-Specific Effects: Application to Estimating Educational Returns
by: Opacic, Aleksei
Published: (2025)