AI knowledge base for empirical research in economics and management — a complete pipeline from literature reading to Stata execution. Based on Karpathy's LLM-Wiki concept and customized around 10 empirical research entity types: variables, datasets, models, mechanisms, hypotheses, identification strategies, robustness, heterogeneity, tables, and papers.
This repository also configures its own agents. See what empiricalwiki tells them →
MCP server Claude CodeCodexCursor +2
MCP server "llm-review" as configured in Lambenthan/empiricalwiki. Runs mcp-servers/llm-review/server.py with python3.