EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agents
On the map: LLM agents and tool use → Social simulation and multi-agent debate
Abstract (arXiv)
We develop evaluation methods for measuring the economic decision-making capabilities and tendencies of LLMs. First, we develop benchmarks derived from key problems in economics -- procurement, scheduling, and pricing -- that test an LLM's ability to learn from the environment in context. Second, we develop the framework of litmus tests, evaluations that quantify an LLM's choice behavior on a stylized decision-making task with multiple conflicting objectives. Each litmus test outputs a litmus score, which quantifies an LLM's tradeoff response, a reliability score, which measures the coherence of an LLM's choice behavior, and a competency score, which measures an LLM's capability at the same task when the conflicting objectives are replaced by a single, well-specified objective. Evaluating a broad array of frontier LLMs, we (1) investigate changes in LLM capabilities and tendencies over time, (2) derive economically meaningful insights from the LLMs' choice behavior and chain-of-thought, (3) validate our litmus test framework by testing self-consistency, robustness, and generalizability. Overall, this work provides a foundation for evaluating LLM agents as they are further integrated into economic decision-making.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 26 of its 81 references that are in the map. First posted on arXiv 24 Mar 2025.
Builds on
26 of 81 references.
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Other references · 25
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Citing papers per year: 2025: 1; 2026: 9.
10 papers.
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- 2026Adaptive Contracts for Cost-Effective AI Delegation17 Mar 2026
- 2025Investigating Advanced Reasoning of Large Language Models via Black-Box Environment Interaction26 Aug 2025
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