Code Review

v1.0 — Structured code review for research code, drawing on DIME, Gentzkow-Shapiro, AEA, and IPA standards

Review research code (Stata, R, or Python) against economics-specific quality standards. Catches silent failures, reproducibility risks, and style issues that generic linters miss.

Argument: $ARGUMENTS

• Path to a file (.do, .R, .py) or a directory
• Or a project name (will look in ~/Dropbox/Github/[project]/)

Modes (append to argument):

• quick (default) — Single-file review: correctness, reproducibility risks, style
• full — Deep single-file review with project context (reads master do-file, config, related files)
• pipeline — Multi-file review: trace the full analysis pipeline, check dependencies and flow
• replication — AEA replication package audit (README, data citations, reproducibility, completeness)

Flags:

• fix — Also output a corrected version of the file (otherwise review-only)
• severity:high — Only report high-severity issues (skip style nitpicks)