AI Agents and Large Language Models for Economic Research with Python: Automating Causal Discovery, Model Building, Policy Simulation, and Real-Time Decision Support
by Hayden Van Der Post, Oliver J. Thatch
AI Agents and Large Language Models for Economic Research with Python explores how AI-driven tools can assist with economic research. Covering causal discovery, model building, policy simulation, and real-time decision support, it offers a focused look at the intersection of economics, Python programming, and large language models.
About This Book
AI Agents and Large Language Models for Economic Research with Python examines the use of modern AI tools in economic research workflows.
The book focuses on automating causal discovery, model building, policy simulation, and real-time decision support.
Python serves as the programming context for applying these capabilities to economic analysis and research tasks.
Written by Hayden Van Der Post and Oliver J. Thatch, this title presents a technology-focused perspective on evolving approaches to economic research.
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