robustness-table

name	robustness-table
description	Generates robustness check code and formats results as a combined table. Use for sensitivity analysis.
argument-hint	<notebook> <baseline spec>
allowed-tools	Bash, Read, Write, Edit, Glob, Grep
version	1.0.0
workflow_stage	writing
tags	["regression","robustness","tables"]

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-01 baseline two-way FE growth regression")

Steps

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

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

2. 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)

3. 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

4. Build the summary table manually as pipe-delimited Markdown (do NOT use pf.etable(type="md"), etable(markdown=TRUE), or esttab md). Extract coefficients, SEs, and p-values from model objects:

   • Format: baseline in column (1), each robustness check in subsequent columns
   • Follow academic conventions: coefficient (SE), significance stars, N, R², FE indicators
   • Include a separator row between coefficients and metadata

5. Export the table in three formats to ../tables/:

   • <label>.md, <label>.csv, <label>.tex

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

7. To embed in index.qmd, use {{< include >}}:

   **Table N: Robustness checks.**
   
   {{< include tables/<label>.md >}}
   
   ::: {.table-notes}
   *Note:* ...
   :::
   

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.