Agent skill · Code Review & Quality

restat-identification

Use when the causal-identification or measurement strategy is the bottleneck for a The Review of Economics and Statistics (REStat) manuscript — a DID / RD / IV / shift-share design, or a measurement / measurement-error problem. Stress-tests the design to REStat's applied-econometrics-and-measurement bar before exhibits are finalized.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-identification --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Review-of-Economics-and-Statistics-Skills/skills/restat-identification/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Identification & Measurement Strategy (restat-identification) ## When to trigger - A causal claim rests on OLS + controls, or TWFE on staggered timing - An IV's exclusion restriction or first-stage strength is contestable - An RD's continuity / manipulation assumptions are not yet defended - A shift-share / exposure design's exogeneity (shares vs shocks) is unargued - The outcome or key regressor is **measured with error**, or you built a **new measure/index** ## The REStat identification-and-measurement bar REStat is **applied econometrics with a measurement tradition**, so two things are judged together: the **mapping from data to the causal object** must be explicit and defended, **and** the **quality of measurement** behind every variable must be credible. A clean design on a badly measured construct does not clear the bar; neither does a beautifully measured variable in a hopelessly confounded regression. Report **standard errors and modern inference**; clustering at the assignment level; address attenuation and other measurement-error biases head-on — REStat referees raise measurement objections sibling journals sometimes wave through. ## Branch paths ### Branch A: Differen

What's inside
Steps it walks through
  1. When to trigger
  2. The REStat identification-and-measurement bar
  3. Branch paths
  4. Branch A: Difference-in-differences / event study
  5. Branch B: Regression discontinuity
  6. Branch C: Instrumental variables
  7. Branch D: Measurement (REStat signature)
  8. Execution bridge (StatsPAI / Stata MCP)
  9. Checklist
  10. Anti-patterns
  11. Worked vignette: a noisily measured regressor (illustrative)
  12. Output format
More from Awesome-Journal-Skills
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About this skill
What does the restat-identification skill do?

Use when the causal-identification or measurement strategy is the bottleneck for a The Review of Economics and Statistics (REStat) manuscript — a DID / RD / IV / shift-share design, or a measurement / measurement-error problem. Stress-tests the design to REStat's applied-econometrics-and-measurement bar before exhibits are finalized.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-identification --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going