September 16, 2025

The Role of AI in Economic Empirical Analysis: Focus on Large Language Models in Computational Economics

View Full Paper

Ask AI

Bookmark

Authors

GWG. Alan WangBeijing Institute of Technology

Discussion

Member takes

Implication

Analysis reveals large language models can enhance causal inference and agent-based simulations in economics, suggesting substantial advancements ahead.

Key Points

Large language models enable more realistic economic modeling and agent-based simulations, enhancing decision-making.
They improve causal inference methods, allowing for better identification of economic relationships and forecasting.
Despite their potential, practical implementations face challenges related to data quality, model transparency, and interdisciplinary expertise.
The integration of AI-driven tools in economics necessitates addressing ethical concerns and adapting regulatory frameworks.

Cite This Study

G. Alan Wang (2025) studied this question.

synapsesocial.com/papers/68d4565431b076d99fa5ae32 https://doi.org/10.64613/fss.4

View Full Paper

Ask AI

Bookmark

Implication

Analysis reveals large language models can enhance causal inference and agent-based simulations in economics, suggesting substantial advancements ahead.

The Role of AI in Economic Empirical Analysis: Focus on Large Language Models in Computational Economics

Discussion

Member takes

Implication

Key Points

Cite This Study

The Role of AI in Economic Empirical Analysis: Focus on Large Language Models in Computational Economics

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider