build-tables

What problem does it solve?

It removes the repetitive, error-prone work of manually assembling multiple Stata model outputs into consistent publication tables by automatically combining saved estimates into formatted LaTeX and CSV artifacts.

Core Features & Use Cases

• Estimates-to-table assembly: Combines multiple saved est store m_* results into one cohesive table with the project’s standard esttab formatting.
• Dual output for paper and audit: Generates both output/tables/<name>.tex (for papers) and output/tables/<name>.csv (for reviewers and verification).
• Table-ready standard stats and stars: Includes rows like N, within R-squared, and mean dependent variable (when present) and applies significance stars using the project default thresholds.
• Column specification flexibility: Supports either building from a named table target (resolved by searching producing do-files) or from an explicit list of saved estimate names.

Quick Start

Ask an AI agent to run the build-tables skill for main_regression so it produces output/tables/main_regression.tex and output/tables/main_regression.csv from the relevant stored est store m_* results.