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.
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.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- When to trigger
- The JOLE identification bar
- Branch paths
- Branch A: DID / event study (policy reforms)
- Branch B: IV (incl. shift-share / Bartik)
- Branch C: RDD (eligibility thresholds)
- Branch D: RCT / field experiment
- Branch E: AKM firm–worker FE
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
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.