Agent skill · Design & Presentation

jole-identification-strategy

Use when the causal identification strategy is the bottleneck for a Journal of Labor Economics (JOLE) manuscript — DID/event study, IV including shift-share, RDD, RCT, and AKM firm–worker designs common in labor economics. Stress-tests the design to JOLE's bar before tables are drafted.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jole-identification-strategy --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: Journal-of-Labor-Economics-Skills/skills/jole-identification-strategy/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 Strategy (jole-identification-strategy) ## When to trigger - The empirical core is OLS + controls with an undefended causal claim - A DID uses two-way fixed effects (TWFE) on staggered policy timing without modern estimators - A shift-share / Bartik IV's exclusion or exposure-share exogeneity is unargued - An RDD at an eligibility threshold lacks a density test or bandwidth robustness - AKM firm–worker fixed effects may carry limited-mobility bias ## The JOLE identification bar JOLE publishes empirical labor papers only when the causal claim is **credible and the data are replicable**. Labor referees apply the standard credibility ladder, tuned to labor settings (strong → weaker): 1. **RCT / field experiment** (e.g., training, hiring, job-search interventions) with balance and pre-registration 2. **RDD** at a clean eligibility threshold (program cutoffs, age/score rules) 3. **DID / event study** off a credibly exogenous labor reform (minimum wage, UI, mandate) with **modern estimators** 4. **IV**, including **shift-share / Bartik** designs, with a strong first stage and a defended exclusion restriction 5. **AKM two-way (firm + worker) fixed effects** for wage decom

What's inside
Steps it walks through
  1. When to trigger
  2. The JOLE identification bar
  3. Branch paths
  4. Branch A: DID / event study (policy reforms)
  5. Branch B: IV (incl. shift-share / Bartik)
  6. Branch C: RDD (eligibility thresholds)
  7. Branch D: RCT / field experiment
  8. Branch E: AKM firm–worker FE
  9. Execution bridge (StatsPAI / Stata MCP)
  10. Checklist
  11. Anti-patterns
  12. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jole-identification-strategy skill do?

Use when the causal identification strategy is the bottleneck for a Journal of Labor Economics (JOLE) manuscript — DID/event study, IV including shift-share, RDD, RCT, and AKM firm–worker designs common in labor economics. Stress-tests the design to JOLE's bar before tables are drafted.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jole-identification-strategy --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