qe-identification-strategy
Use when the identification argument is the bottleneck for a Quantitative Economics (QE) manuscript — whether causal identification in an empirical design, parameter identification in a structural/computational model, or treatment-effect identification in an experiment. Stress-tests the strategy to the QE general-interest quantitative bar before exhibits are finalized.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qe-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 (qe-identification-strategy) ## When to trigger - A structural model's parameters are estimated but it is unclear *what in the data* identifies them - An empirical causal claim rests on OLS + controls, or TWFE on staggered timing - An experiment's estimand or its assumptions are not pinned down - You are unsure the identification clears QE's quantitative, general-interest
What does the qe-identification-strategy skill do?
Use when the identification argument is the bottleneck for a Quantitative Economics (QE) manuscript — whether causal identification in an empirical design, parameter identification in a structural/computational model, or treatment-effect identification in an experiment. Stress-tests the strategy to the QE general-interest quantitative bar before exhibits are finalized.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qe-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.