agentsclimarketplace

Jue workflow

Skill brycewang-stanford/Awesome-Journal-Skills/Journal-of-Urban-Economics-Skills/skills/jue-workflow

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的 Claude Code/Codex 期刊技能包,从选题、识别策略到表格规范与审稿回复全流程,助你快速发论文。

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill jue-workflow

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Use when deciding which jue-* sub-skill to invoke next, or when sequencing manuscript work from topic through rebuttal for a Journal of Urban Economics (JUE) submission. Routes — it does not replace — the specialized skills.

SKILL.md

7.6 KB, ~1.8k tokens by cl100k_base, as published. Nobody here has run it

JUE Workflow Router (jue-workflow)

Overview

This is the router. It tells you which jue- skill to use at the current stage* of a manuscript aimed at the Journal of Urban Economics (JUE) — the Elsevier field flagship for urban & regional economics, founded in 1974 by Edwin Mills and described as "the premier journal in the field." JUE rewards papers whose question is genuinely spatial: agglomeration economies, housing supply & real estate, local labor markets, commuting & transportation, land use & zoning, local public finance & Tiebout sorting, neighborhood effects, spatial sorting, urban growth, and place-based policy. The bar is a credible spatial identification married to a clear urban mechanism — not just a national-level result run on geographic data.

Operational tells that you are at JUE and not a sibling: single-anonymized (single-blind) review via Editorial Manager; a US$100 nonrefundable submission fee paid during submission (检索于 2026-06;以官网为准); a mandatory replication policy (data + code deposited to a major repository at acceptance, before publication); a short-paper track, JUE: Insights (≤6,000 words, ≤5 exhibits); co-editors-in-chief Nathaniel Baum-Snow (Toronto) and Kristian Behrens (UQÀM) (检索于 2026-06;以官网为准). Re-verify volatile specifics on the official Elsevier/ScienceDirect pages.

When to trigger

  • The user asks "what should I do next?" on a JUE-bound paper
  • A draft needs its current spatial-economics bottleneck diagnosed
  • Work is ping-ponging between framing, identification, exhibits (maps!), and the response letter
  • A JUE decision letter arrived and the user must switch into revision mode
  • The team is deciding between JUE and a sibling (RSUE, JREconomics, JEG, JPubE)

Routing table

Current symptomNext skill
Question is not clearly spatial / fit with JUE vs a sibling is uncertainjue-topic-selection
Contribution vs. the urban-econ frontier is fuzzy or undersoldjue-literature-positioning
The spatial causal design (boundary RD, shift-share, place-based DiD) is shakyjue-identification
The mechanism needs a spatial-equilibrium or sorting model to interpretjue-theory-model
Results may be spatial-autocorrelation-, sorting-, or sample-sensitivejue-robustness
Exhibits are dense; the paper has no map; spatial pattern is invisiblejue-tables-figures
Prose buries the spatial mechanism; intro/abstract do not landjue-writing-style
Geocoded/restricted data deposit, README, repository prepjue-replication-package
Likely referee objections should be anticipated before submissionjue-referee-strategy
Ready to submit via Editorial Manager; need a preflightjue-submission
An R&R arrived; need a response-letter strategyjue-rebuttal

Default order

jue-topic-selection → jue-literature-positioning → jue-identification → jue-theory-model → jue-robustness → jue-tables-figures → jue-writing-style → jue-replication-package → jue-referee-strategy → jue-submission → jue-rebuttal

jue-writing-style is late-stage polish — do not rewrite the intro before identification and the spatial mechanism settle. Start jue-replication-package early if data is geocoded or restricted; the deposit is harder than it looks.

Routing by paper archetype

JUE spans several spatial sub-fields and the binding constraint differs by archetype. Read the archetype, then enter the chain at the right link.

ArchetypeLikely first bottleneckEnter at
housing supply / real estate pricesspatial sorting & supply-elasticity identificationjue-identification
agglomeration / productivityreverse causality + Bartik/historical-IV exogeneityjue-identification
place-based policy evaluationboundary discontinuity or DiD with spatial spillovers (SUTVA)jue-identificationjue-robustness
neighborhood effects / mobilityselection into neighborhoods; MTO-style designjue-identification
quantitative spatial model (QSM)what data identifies the structural parametersjue-theory-model
transportation / commutingnetwork endogeneity; market-access measurementjue-identification

How JUE differs from its siblings (keep this straight while routing)

  • RSUE (Regional Science & Urban Economics, Elsevier) — leans more methodological / regional-science; JUE leads with the economics, not the spatial method.
  • Journal of Regional Science — broader regional-science scope; JUE is the urban-economics field flagship.
  • JEG (Journal of Economic Geography, OUP) — economic-geography framing (clusters, evolutionary geography), non-Elsevier; JUE is spatial-equilibrium urban economics.
  • JPubE (Journal of Public Economics) — the tax/spending design leads; at JUE the spatial reallocation and capitalization lead.
  • AEJ: Applied — rewards the causal design alone; JUE additionally requires a load-bearing urban mechanism.

Anti-patterns

  • Treating JUE as interchangeable with RSUE (more methods/regional-science), Journal of Regional Science, JEG (econ-geography, OUP), or JPubE (a place-based result is not automatically a public-finance paper)
  • Polishing exhibits or prose while the spatial identification is still moving
  • Deferring the replication folder to acceptance when the data is geocoded/restricted
  • A national-level result dressed in geographic data with no urban mechanism

Worked routing example (illustrative)

A user says: "My paper shows a new rail line raised nearby house prices, but a referee says the price jump could be sorting of richer households into the corridor, and the control areas may be contaminated by displaced demand." That is two distinct JUE pushbacks — spatial sorting/selection and SUTVA/spillover contamination of controls — both owned by jue-identification (design) and jue-robustness (spatial-spillover sensitivity, donut controls). Route to jue-identification first; only once the capitalization estimate is defended (say it settles at 4.5%, illustrative) return to jue-tables-figures for the map and jue-rebuttal.

Two cross-cutting threads to keep alive throughout

  • Spatial inference is not a single stage — it surfaces in jue-identification (Conley/spatial-cluster SEs), jue-robustness (cutoff sensitivity), and jue-tables-figures (reporting). Do not treat it as a one-time fix.
  • The replication path for geocoded/restricted data touches jue-topic-selection (feasibility), jue-replication-package (deposit), and jue-submission (cover-letter exemption). Decide it early, not at acceptance.

Minimal decision snippet

if decision_letter_arrived:          -> jue-rebuttal
elif ready_to_submit:                -> jue-submission
elif anticipating_referees:          -> jue-referee-strategy
elif data_is_geocoded_or_restricted: -> jue-replication-package
elif exhibits_have_no_map:           -> jue-tables-figures
elif spatial_robustness_open:        -> jue-robustness
elif need_spatial_model:             -> jue-theory-model
elif identification_shaky:           -> jue-identification
elif claim_or_positioning_fuzzy:     -> jue-literature-positioning
else:                                -> jue-topic-selection

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 327,132. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.