restud-identification
Use when selecting, implementing, or stress-testing the causal identification strategy for an empirical The Review of Economic Studies (REStud) manuscript — DID (incl. staggered), IV (incl. weak-IV-robust inference), RDD, synthetic control, shift-share, or RCT. Apply before writing results; for theory papers route to restud-theory-model.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restud-identification --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.
# REStud Identification (restud-identification) ## When to trigger - The empirical core is OLS + controls and a referee will flag selection-on-observables - DID uses TWFE on staggered data with no modern estimator - IV first-stage F is being cited as proof of instrument strength - RDD uses a high-order polynomial or one untested bandwidth - A prior rejection cited identification grounds and the design needs rebuilding ## REStud identification bar REStud was founded in 1933 to advance **both theoretical and applied** economics, and that balance is its signature: unlike a purely empirical top-5 outlet, REStud weighs design-based causal work and structural/theory-consistent identification on equal terms. So the bar is a **state-of-the-art causal design**, OR — for a structural/theoretical-empirical paper — a rigorous identification of the model's parameters with the identifying assumptions stated explicitly and mapped to data features. The empirical contribution can itself be *a new identification strategy*; in that case the design is the paper and must be defended to the hilt. Editorial assignment reflects the breadth: handling Joint Managing Editors span IO/applied econometrics (Jan
- When to trigger
- REStud identification bar
- Master decision tree
- Branch A — Difference-in-Differences
- Branch B — Instrumental Variables
- Branch C — Regression Discontinuity
- Branch D — Synthetic control / shift-share
- Branch E — Structural / theory-consistent
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the restud-identification skill do?
Use when selecting, implementing, or stress-testing the causal identification strategy for an empirical The Review of Economic Studies (REStud) manuscript — DID (incl. staggered), IV (incl. weak-IV-robust inference), RDD, synthetic control, shift-share, or RCT. Apply before writing results; for theory papers route to restud-theory-model.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restud-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.