jue-identification
Use when the spatial identification argument is the bottleneck for a Journal of Urban Economics (JUE) manuscript — boundary discontinuity, shift-share/Bartik, historical or geographic IV, place-based DiD, or mobility experiment. Stress-tests the spatial design against sorting, spillovers, and spatial-autocorrelation confounds before exhibits are finalized.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jue-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.
# Spatial Identification (jue-identification) ## When to trigger - A causal claim rests on OLS + region controls, or TWFE on staggered place-based policy - A shift-share/Bartik instrument's exogeneity (shares vs shocks) is asserted, not argued - A boundary/border discontinuity lacks a continuity-of-confounders defense - The estimate could be driven by **spatial sorting/selection** across locations rather than the treatment - Control areas may be contaminated by **spillovers/displacement** (SUTVA failure) - Inference ignores **spatial autocorrelation** (Conley/HAC) and overstates precision ## The JUE identification bar JUE referees are sophisticated about the failure modes that are *specific to space*. A clean national design is not enough; you must defend it against the three spatial confounds that recur in every urban paper: **(1) sorting/selection** — people, firms, and developers choose locations, so cross-location comparisons mix treatment with composition; **(2) spillovers/SUTVA** — treating one place moves activity to or from neighbors, contaminating controls and biasing reduced forms; **(3) spatial autocorrelation** — nearby units are correlated, so naive SEs are too small.
- When to trigger
- The JUE identification bar
- Design paths
- Path B: Shift-share / Bartik (local labor demand, immigration, trade exposure)
- Path D: Place-based policy DiD / event study (zones, infrastructure, rezoning)
- Path E: Mobility / neighborhood experiment (MTO-style, voucher lotteries)
- Cross-cutting spatial inference
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Referee pushback mapped to the identification fix
- Worked vignette (illustrative)
- Output format
What does the jue-identification skill do?
Use when the spatial identification argument is the bottleneck for a Journal of Urban Economics (JUE) manuscript — boundary discontinuity, shift-share/Bartik, historical or geographic IV, place-based DiD, or mobility experiment. Stress-tests the spatial design against sorting, spillovers, and spatial-autocorrelation confounds before exhibits are finalized.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jue-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.