Agent skill · Design & Presentation

qje-identification

Use when the causal identification strategy is the bottleneck for a Quarterly Journal of Economics (QJE) manuscript — RCT, staggered DID, IV, RDD, event study. Stress-tests the design to the QJE general-interest bar before tables are drafted.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qje-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: 7 KB
Bundled scripts: none
Path: Quarterly-Journal-of-Economics-Skills/skills/qje-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

# Causal Identification (qje-identification) ## When to trigger - The empirical core is OLS + controls with an undefended causal claim - A DID uses two-way fixed effects (TWFE) on staggered timing without modern estimators - An IV's first stage is weak or the exclusion restriction is unargued - An RDD lacks a McCrary density test or bandwidth-robustness - You are unsure your design clears the QJE

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About this skill
What does the qje-identification skill do?

Use when the causal identification strategy is the bottleneck for a Quarterly Journal of Economics (QJE) manuscript — RCT, staggered DID, IV, RDD, event study. Stress-tests the design to the QJE general-interest bar before tables are drafted.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qje-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.

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