From qe-skills
Routes manuscript workflow steps for Quantitative Economics (QE) submissions, from topic selection through rebuttal, by diagnosing bottlenecks and invoking the appropriate qe-* sub-skill.
How this skill is triggered — by the user, by Claude, or both
Slash command
/qe-skills:qe-workflowThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This is the router. It tells you **which qe-* skill to use at the current stage** of a manuscript aimed at *Quantitative Economics* (QE) — the empirically and computationally oriented general-interest journal of the **Econometric Society**, the sister of *Econometrica* (more theoretical/methodological) and *Theoretical Economics* (pure theory). QE rewards papers that **develop or apply quantita...
This is the router. It tells you which qe- skill to use at the current stage* of a manuscript aimed at Quantitative Economics (QE) — the empirically and computationally oriented general-interest journal of the Econometric Society, the sister of Econometrica (more theoretical/methodological) and Theoretical Economics (pure theory). QE rewards papers that develop or apply quantitative methods to substantive economic questions — empirical, structural/computational, experimental, or simulation-based — with documented data and reproducible code.
Default assumption: unless the user says otherwise, treat the target as QE. Operational tells that you are at QE and not a sibling or a generic top journal: Econometric Society membership is required to submit (at least one author a member); there is a submission fee (US$100 regular / US$50 student); the manuscript must be posted publicly during review; the ES Data Editor runs a pre-acceptance reproducibility check (DCAS-compatible, not the JAE archive); QE is Open Access (CC BY-NC) with a post-proof publication fee based on production cost per page. Wiley product metadata checked on 2026-06-20 lists Bernard Salanié as editor. Re-verify volatile specifics on the official ES and Wiley pages.
| Current symptom | Next skill |
|---|---|
| Question feels narrow / not clearly general-interest quantitative | qe-topic-selection |
| Contribution vs. the frontier is fuzzy or undersold | qe-literature-positioning |
| The "so what" / one-sentence claim is not sharp | qe-contribution-framing |
| Empirical causal design or structural identification is shaky | qe-identification-strategy |
| Estimation, moments, or data handling need work | qe-data-analysis |
| Exhibits are dense; significance asterisks still present | qe-tables-figures |
| Prose buries the idea; abstract/intro do not land | qe-writing-style |
| Data/code deposit, README, or ES Data Editor prep | qe-replication-and-data-policy |
| Want to understand referee timeline / desk-reject odds / transfer | qe-review-process |
| Ready to submit via the ES portal; need a preflight | qe-submission |
| Received an R&R; need a response-letter strategy | qe-rebuttal |
qe-topic-selection — lock the substantive quantitative questionqe-literature-positioning — stake the contribution vs. the frontierqe-contribution-framing — sharpen the one-sentence claimqe-identification-strategy — causal design or structural identificationqe-data-analysis — estimation, moments, diagnosticsqe-tables-figures — exhibits without significance asterisksqe-writing-style — make the idea land (abstract + intro last)qe-replication-and-data-policy — assemble the ES-compliant packageqe-review-process — calibrate expectations / consider Econometrica transferqe-submission — ES portal preflightqe-rebuttal — after the R&R
qe-writing-styleis a late-stage polish; do not rewrite the intro before identification/estimation settle.
qe-replication-and-data-policy until acceptance — the ES Data Editor checks before acceptanceqe-tables-figures polish exhibits while estimation is still movingQE spans four quantitative branches, and the bottleneck differs by branch. Read the archetype, then enter the chain at the right link.
| Archetype | Likely first bottleneck | Enter at |
|---|---|---|
| structural / computational estimation | numerical validation + parameter identification | qe-identification-strategy → qe-data-analysis |
| applied micro / finance causal design | staggered-DID or weak-IV credibility | qe-identification-strategy |
| experiment (own data) | pre-registration + estimand (Jan 2026 rules) | qe-topic-selection → qe-identification-strategy |
| simulation / measurement | robustness to grids/tuning + reproducibility | qe-data-analysis → qe-replication-and-data-policy |
A user says: "My structural labor model estimates fine, but a referee called the counterfactual numerically fragile and the welfare gain not robust." That is two distinct QE pushbacks — numerical accuracy not validated and results not robust to specification — both owned by qe-data-analysis, with the identification defense in qe-identification-strategy. Route there first; only once the headline welfare number is stable (say it settles at 4.2%, s.e. 0.6, illustrative) do you return to qe-tables-figures and qe-rebuttal to present and defend it.
if decision_letter_arrived: -> qe-rebuttal
elif ready_to_submit: -> qe-submission
elif exhibits_or_significance: -> qe-tables-figures
elif estimation_or_numerics: -> qe-data-analysis
elif identification_shaky: -> qe-identification-strategy
elif claim_or_positioning_fuzzy: -> qe-contribution-framing / qe-literature-positioning
else: -> qe-topic-selection
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin qe-skillsRoutes manuscript work for Quarterly Journal of Economics submissions, directing to the appropriate qje-* sub-skill based on current stage (topic selection through rebuttal).
Guides authors on Quantitative Economics journal fit, framing, and method standards for structural/quantitative manuscripts.
Determines if a research project fits Quantitative Economics journal criteria and sharpens the economic question, without designing the estimation.