Claude Code 28: Multiple Agents Auditing Your Callaway and Sant'Anna Diff-in-Diff (Part 3)
Reviewing what we found from our run
Last week I had Claude implement a “multi-analyst design” across 5 Callaway and Sant’Anna packages (2 in python, 1 in R, 2 in Stata) on a fixed dataset, a universal baseline, ~20 covariates to choose from for satisfying conditional parallel trends, and the same target parameter. You can find that here:
Claude Code 26: Multiple Agents Auditing Your Callaway and Sant'Anna Diff-in-Diff (Part 2)
·
This is part of my ongoing series on using Claude Code for practical applied empirical work valued by the quantitative social sciences. And this is specifically going with a difference-in-differences (DiD) idea that I started the other day which you can find here:
But in that post, I didn’t finish reporting it. So…
