Social sciences · OECD FoS 5.2 · China MoE 0201 理论经济学 / 0202 应用经济学
Economics
经济学
L1Assistive → Steady Score 1.30 · Last reviewed 2026-10-22 · Next review 2027-01-19
BIGGEST BREAKTHROUGH 2026-09-28 AI · majorField · major
NBER w35782: an LLM workflow that reproduces, improves and extends published economics research ↗
AI takes on replication and extension
Why this level
Stays L1 (close to L2): ML causal inference and text methods are common and a 2026 NBER paper uses an LLM workflow to reproduce and extend published work, but a 74-country Nature Human Behaviour study shows simulated LLM respondents are weak proxies for human preferences; no recognised AI-key discovery yet.
S = 0.30·method + 0.35·discovery + 0.25·adoption + 0.10·education (education scores 0 when there is no evidence; if empty, the other weights are renormalised)
Sources
Composite 0.75–1.49: AI is an aid in parts of research or practice, with cases or surveys, but no recognised AI-key result. All levels →
Research directions
LLM-simulated agentsText as dataAI labour-market impact (as subject)
Papers
- Simulated responses from large language models are weak proxies for human economic preferences across 74 countries
74-country evidence that simulations are weak proxies
2026-10-12 · Nature Human Behaviour
- Generative AI at Work
Among first top-journal estimates of generative-AI productivity
2025-02-04 · The Quarterly Journal of Economics
- Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
LLMs as simulated economic agents
2024-12-17 · Proceedings of the 25th ACM Conference on Economics and Computation
- Generative AI for Economic Research: Use Cases and Implications for Economists
Authoritative review of LLMs in economic research
2023-12-01 · Journal of Economic Literature
- Experimental evidence on the productivity effects of generative artificial intelligence
First top-journal RCT of generative AI productivity in knowledge work
2023-07-14 · Science
- Stronger artificial intelligence breakthroughs hasten their own exhaustion
7.2M papers show each AI breakthrough concentrates attention and is followed by faster exhaustion of ideas.
2026-10-19 · arXiv · Beichen Lu, Honglin Bao, Qi Huang, Qingguo Meng
- How exposed is work to robotics? Occupational, industry, and geographic measures
First abilities-based exposure measures for robotics and physical AI across occupations, industries and regions.
2026-10-16 · arXiv · Sebastian Sartor, Robert Seamans, Neil Thompson
- TRACE: Governing AI-Assisted Research with Principles from Computer Science
Five principles (TRACE) from CS practice for governing AI-assisted research.
2026-10-16 · arXiv · Amirhossein Zohrehvand, Aldona Kapačinskaitė
- How language model agents reshape price competition
LLM pricing agents can escape near-marginal-cost Bertrand outcomes depending on deployment choices.
2026-10-15 · arXiv · Martin Bichler, Philip Hierhager, Kassian Köck, Fabian Pieroth
- AI Information Synthesis and Content Polarization
A game-theoretic model shows content producers’ strategic responses can undermine AI’s potential to reduce polarisation.
2026-10-13 · arXiv · Chang Liu, Yuting Zhu
- Organizing LLM Inference for Aggregate Predictions from Behavioral Data
Studies bias–variance trade-offs in aggregating behavioural histories when LLMs simulate user populations.
2026-10-07 · arXiv · Varun Gupta, Vijay Kamble
- Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models
Argues stated-preference validity concepts offer a general method for evaluating LLMs without ground truth.
2026-10-07 · arXiv · Daniel Robert Kling Alexander, Catherine Louise Kling
- Understanding Interfirm AI Talent Flow Networks through Online Professional Profiles
Reconstructs 2010–2022 inter-firm AI talent flows from ~535M employment records, finding growing concentration in a few leading firms.
2026-10-06 · arXiv · Donghang Li, Yunhan Zheng, Alok Prakash, Shenhao Wang
- From arXiv, bioRxiv, medRxiv and OpenAlex (last ~30 days); summaries written by AIMap from the abstract.
- Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition 2026-10-20
- MMEnterprise-Bench: Evaluating Enterprise Agents over Evolving Multimodal Records 2026-10-20
- MTEdit: Packed Trajectories Beat Rollouts for Multi-Turn Image Editing 2026-10-16
- LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets 2026-10-07
- Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems 2026-10-01
- JEV-as-a-Judge: Accept When Confident, Escalate When Unsure 2026-09-22
- All related papers in the archive →
Milestones 7
Big glowing nodes are leaps: AI leap cool · Field leap warm · double ring = both
-
Paper
74-country study: LLM answers are weak proxies for human economic preferences74-country evidence that simulations are weak proxies
Nature Human Behaviour -
Paper
NBER w35782: an LLM workflow that reproduces, improves and extends published economics researchAI takes on replication and extension
NBER -
Paper
NBER: The Early Impacts of AI on Employment among Recent College Graduates — no significant rise in summer 2026 (w35796)AI: targets the group thought most exposed. Field: DiD and event-study find no relative rise, even with an expanded unemployment measure (working paper)
NBER -
Paper
Generative AI at Work: 14% productivity gain, largest for novices (QJE)Among first top-journal estimates of generative-AI productivity
Quarterly Journal of Economics -
Paper
“Homo Silicus”: LLMs as simulated economic agents (ACM EC 2024)LLMs as simulated economic agents
ACM ECTo be verified -
Paper
Korinek: Generative AI for economic research (JEL)Authoritative review of LLMs in economic research
Journal of Economic Literature -
Paper
Noy & Zhang: experimental evidence on generative AI productivity in writing tasks (Science)First top-journal RCT of generative AI productivity in knowledge work
Science
No milestones match this filter.
More papers & repos 5
| Type | Title | Date |
|---|---|---|
| Paper | Simulated responses from large language models are weak proxies for human economic preferences across 74 countries | 2026-10-12 |
| Paper | Generative AI at Work | 2025-02-04 |
| Paper | Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? | 2024-12-17 |
| Paper | Generative AI for Economic Research: Use Cases and Implications for Economists | 2023-12-01 |
| Paper | Experimental evidence on the productivity effects of generative artificial intelligence | 2023-07-14 |
Latest news 10
- The new economics of enterprise AIMIT Technology Review - AIen
- The Humanoid Economy by Modar Alaoui Published Today by WileyRobotics Tomorrowen
- Nature Human Behaviour: 74-country study of generative AI useNature Human Behaviouren
- Robots at Work: How Intelligent Automation Is Reshaping the Global EconomyRobotics Tomorrowen
- Import AI 475: Swarm scaling; Google DeepMind watermarks biology; and the AI science economyImport AI (Jack Clark)en
- Too big to pause: Could an AI slowdown crash the economy?Cointelegraph AIen
- NBER w35782NBERen