robustness-table

Generate Robustness Checks and Table

Given a baseline regression, generate code for standard robustness checks and format the results as a publication-ready table.

Arguments

• $ARGUMENTS — notebook reference and baseline specification description (e.g., "notebook-02 baseline OLS with GDP on life expectancy")

Steps

1. Read the specified notebook and locate the baseline regression:

• Look for estimation commands (Python: statsmodels, linearmodels; R: lm, fixest, felm; Stata: reg, reghdfe, ivregress)
• Identify the dependent variable, independent variables, fixed effects, and clustering

1. Ask the user which robustness checks to include:

• Alternative control variable sets (drop/add controls)
• Alternative fixed effects specifications
• Different standard error clustering levels
• Subsample analysis (e.g., by region, time period, income group)
• Winsorized or trimmed dependent variable
• Alternative dependent variable (e.g., log vs level)
• Placebo tests (randomized treatment, pre-period outcome)
• Alternative estimation methods (e.g., OLS vs Poisson, logit vs probit)

1. Generate code cells in the notebook for each robustness specification:

• Each cell should be self-contained (loads data, runs regression, stores results)
• Use consistent variable naming for results collection

1. Create a summary cell that collects all results into a single table:

• Cell directive: #| label: tbl-robustness (or *| for Stata)
• Cell directive: #| tbl-cap: "Robustness checks" (or *| for Stata)
• Format: baseline in column (1), each robustness check in subsequent columns
• Follow academic conventions: coefficient (SE), significance stars, N, R², FE indicators
• Stata caveat: Do NOT use tbl- prefix for Stata text output — use a plain label (e.g., stata-robustness)

1. Optionally export the table to tables/ as a standalone file (LaTeX or CSV)

1. Sync the Jupytext pair:

   uv run jupytext --sync notebooks/<name>.md

1. Show the embed shortcode for index.qmd:

   {{< embed notebooks/<name>.ipynb#tbl-robustness >}}

Error handling

• If the baseline regression is not found, ask the user to point to the specific cell.
• If the notebook uses a language not recognized, ask for guidance on the estimation syntax.