Regression table
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npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill regression-tableAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Formats estimation output as a publication-quality regression table with stars, SEs, and fit statistics. Use when creating a results table.
SKILL.md
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Format Regression Table
Create a publication-quality regression table from estimation output in a notebook.
Arguments
$ARGUMENTS— a notebook reference and/or description of the table (e.g., "notebook-02 OLS results" or "main regression table with 3 specifications")
Steps
-
Identify the source notebook and the estimation output:
- If a notebook name is provided, read that notebook
- If no notebook is specified, ask the user which notebook contains the regression results
- Look for cells with estimation commands (Python:
statsmodels,linearmodels; R:lm,fixest,felm; Stata:reg,reghdfe,ivregress)
-
Ask the user for table specifications:
- Which models/columns to include
- Dependent variable name(s)
- Which coefficients to display (or "all")
- Fixed effects to report as Yes/No rows
- Clustering level for standard errors
- Any custom notes for the table footer
-
Construct the table following academic conventions:
- Header row: Dependent variable name spanning all columns, column numbers (1), (2), (3)...
- Coefficient rows: Point estimate on top, standard error in parentheses below
- Significance stars:
*p<0.10,**p<0.05,***p<0.01 - Fixed effects rows: Yes/No indicators
- Summary rows: Observations (N), R-squared, Adjusted R-squared, or other fit statistics
- Footer: Significance legend and notes about standard errors
-
Create or update a cell in the specified notebook with:
- Cell directive:
#| label: tbl-<descriptive-name>(or*|for Stata) - Cell directive:
#| tbl-cap: "<caption>"(or*|for Stata) - The code to generate the formatted Markdown table
- Stata caveat: Do NOT use
tbl-prefix for Stata text output — use a plain label instead (e.g.,stata-regression)
- Cell directive:
-
Sync the Jupytext pair:
uv run jupytext --sync notebooks/<name>.md -
Show the user the embed shortcode to paste into
index.qmd:{{< embed notebooks/<name>.ipynb#tbl-<label> >}}
Error handling
- If the notebook has no estimation output, report this and ask the user to run the regressions first.
- If the estimation output format is not recognized, ask the user to provide the raw coefficients and standard errors.