agent/papers/items/2026-2606-20041-ai-economist-agent-an-agentic-framework-for-model-grounded-economic-analysis-wit.md

Paper: AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, Knowledge Graphs, and Large Language Models

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type: paper title: "AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, Knowledge Graphs, and Large Language Models" authors: Masahiro Kato year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.20041 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-18 updated_at: 2026-06-18 status: queued relevance: high topics:

• agent-evaluation
• planning
• rag methods:

benchmarks:

models:

datasets:

• econ.GN
• cs.AI
• cs.LG
• q-fin.GN related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: ai-agent, rag-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: ai-agent, rag-agent
• inferred topics: agent-evaluation, planning, rag
• arXiv categories: econ.GN, cs.AI, cs.LG, q-fin.GN
• collection score: 15

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.20041