Agent skill · Code Review & Quality

restat-topic-selection

Use when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J. Econometrics / a field journal, and sharpening the question to REStat's empirical-and-measurement bar. Decides venue fit and frames the question; it does not run the analysis.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Review-of-Economics-and-Statistics-Skills/skills/restat-topic-selection/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

# Topic Selection & Venue Fit (restat-topic-selection) ## When to trigger - A project is between venues: REStat vs AER / AEJ:Applied vs *J. Econometrics* vs a field journal - The question is interesting but you cannot say why it belongs at REStat specifically - The contribution is a method but you are unsure REStat (applied, not methods-development) is the home - You have a clean dataset / measurement advance and need to frame it as a REStat question ## The REStat fit bar REStat publishes **applied economics and applied econometrics** with a long **measurement tradition**: it wants a substantive economic question answered with **credible identification** *or* a **careful measurement / data contribution** that moves an applied literature. It is **empirical-first** and broad across fields (labor, public, development, trade, IO, health, environment, urban, macro-empirics), wider than a field journal but more specialized than AER. Two REStat sweet spots that distinguish it from siblings: (1) a **clean causal estimate** of a parameter an applied literature cares about; (2) a **measurement or methods-applied** advance — a new index, a better-measured construct, a corrected bias, an estim

What's inside
Steps it walks through
  1. When to trigger
  2. The REStat fit bar
  3. Fit decision table
  4. The one-sentence test
  5. Checklist
  6. Anti-patterns
  7. Worked vignette: a measurement paper finding its home (illustrative)
  8. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the restat-topic-selection skill do?

Use when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J. Econometrics / a field journal, and sharpening the question to REStat's empirical-and-measurement bar. Decides venue fit and frames the question; it does not run the analysis.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-topic-selection --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