autoregmonkey

Automate econometric analysis by orchestrating data preparation, model estimation, and reporting end-to-end. This Skill transforms natural language requests into professional reports, handling Python data processing, Stata regression analyses, and dynamic knowledge retrieval to produce comprehensive results without manual intervention.

Yes. This Skill seamlessly integrates Python for data processing and Stata for regression analysis, coordinating both tools within a single workflow. It manages tool orchestration, allowing you to leverage each tool's strengths while maintaining unified data flow and report generation.

Automate model selection, estimation handling endogeneity and heteroskedasticity, Kuznets curve testing, and other complex econometric tasks. The Skill applies theoretical grounding from econometric knowledge sources to inform model choice and produces structured analysis reports with economic interpretations.

Data preparation is handled automatically as part of the workflow. You provide raw data and specify your analytical task; the Skill manages preprocessing, variable transformation, and formatting required for Python processing and Stata regression, then generates a final report.

Analysis outputs professional Chinese econometric reports with structured sections covering theory, results, and economic interpretation. Reports integrate findings from data processing and regression analysis into cohesive narratives suitable for academic or policy contexts.

The Skill requires access to data/ and result/ directories, plus a workspace/ for orchestration. Real-time knowledge retrieval and cross-tool coordination depend on proper directory structure; ensure these directories exist and are accessible before initiating analysis tasks.