hanlulong/awesome-ai-for-economists
📦 Open Source Projecthanlulong
A comprehensive curated repository of AI tools, libraries, and resources tailored for economics research and policy analysis.
The awesome-ai-for-economists repository is an essential knowledge base designed to navigate the intersection of artificial intelligence and economic science. It categorizes a vast array of resources, ranging from foundational machine learning libraries to specialized tools for causal inference and structural modeling. The repository highlights how LLMs and generative AI can be leveraged for literature reviews, data cleaning, and complex policy simulations.
Key features include sections dedicated to integrating AI with traditional statistical software like Stata, resources for teaching AI in economics curricula, and advanced frameworks for automated data analysis. By aggregating open-source projects, research papers, and practical guides, the repository reduces the barrier to entry for economists looking to modernize their research stack. It is actively maintained to ensure that the latest advancements in AI—such as MCP servers and agentic workflows—are contextualized for the specific rigors of economic research and empirical analysis.
💡Highlights
- ├─Curated AI tools for econometrics
- ├─Causal inference & ML resources
- └─Stata & AI integration guides
🎯For
- ├─Academic Researchers
- ├─Policy Analysts
- └─Economics Students