Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Quantitative Economics

ASecurity

Use when targeting Quantitative Economics (QE) or deciding whether a structural / quantitative manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

1,052 stars
0 votes
0 copies
0 views
Added 6/5/2026
ai-agentsgo

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill quantitative-economics --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Quantitative Economics?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Quantitative Economics
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-quantitative-economics/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-quantitative-economics)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: quantitative-economics
description: Use when targeting Quantitative Economics (QE) or deciding whether a structural / quantitative manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
---

# Quantitative Economics (quantitative-economics)

## Journal positioning

Quantitative Economics is an Econometric Society open-access journal devoted to quantitative economics that combines structural and computational modeling with data. It publishes both methodological contributions and quantitatively rigorous applied work — the common thread is taking models seriously enough to confront them with data through estimation, calibration, or computation. What wins here is a paper where the economic model and the quantitative implementation are both first-rate. The readership is structural and quantitative economists across micro and macro who care about model-based inference.

This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the Econometric Society / journal site and the submission system.

## When to trigger

- The author names QE as the target venue.
- A structural / computational paper has a serious model-meets-data contribution and the author is choosing among quantitative venues.
- A reduced-form or theory paper has a strong quantitative-modeling extension that needs re-framing toward QE's strengths.
- The author needs QE's desk-reject risks and a credible quantitative / econometrics alternative list.

## Scope & topic fit

- Structural estimation and quantitative modeling across micro and macro: dynamic models, heterogeneous agents, IO, labor, public, trade, macro.
- Computational and numerical methods for solving and estimating economic models.
- Econometric methods oriented toward structural / model-based inference and identification.
- Quantitatively rigorous applied work where the model carries the contribution, not only the reduced-form result.

## Method & evidence bar

- The model and its quantitative implementation must both be rigorous: clear economic structure, credible identification of structural parameters, and sound estimation / calibration / computation.
- Identification of the structural model should be transparent — what in the data pins down the parameters.
- Numerical methods and computational choices must be documented and defensible; results should be robust to reasonable alternatives.
- As an Econometric Society journal, the standard for technical correctness and transparency is high; replication code is part of the package.

## Structure & house style

- The introduction should state the economic question, the model, the identification, and what the quantitative exercise delivers (counterfactuals, decompositions, estimates).
- Frame the contribution as a model-based advance — methodological, or an applied result that only a structural approach could deliver.
- Use an abstract and JEL codes; relegate derivations, computational detail, and robustness to a supplement / appendix.
- As an open-access journal, follow the current Econometric Society formatting; supplementary material and replication packages are expected.

## Official-submission checklist

- Before giving submission-ready advice, read `../../resources/source-basis.md` and `../../resources/official-source-map.md`; start from the official source anchors for this journal family, then cite the current journal-specific page you checked.
- Search the live site for "Quantitative Economics submission guidelines / Econometric Society instructions for authors" and follow the current version.
- Re-check word/figure limits, abstract and JEL requirements, reference and math style, anonymization expectations, and any open-access / article-processing arrangements.
- Re-check the current replication / data and code archive policy (Econometric Society replication requirements).
- If the live official instructions conflict with this skill, the official instructions win.

## Pre-submission self-check

- [ ] One sentence stating what the quantitative / structural approach delivers that reduced-form work could not.
- [ ] The contribution is stated as model + identification + quantitative result, not as a significant coefficient.
- [ ] Identification of the structural parameters is transparent and defensible.
- [ ] Computational methods, robustness, and replication materials meet Econometric Society standards.
- [ ] Open-access / formatting and the replication archive requirements are satisfied.

## Common desk-reject triggers

- A reduced-form paper with no genuine structural / quantitative-modeling contribution.
- A structural model with opaque or hand-waved identification of its parameters.
- Undocumented computational choices or results that are not robust.
- A pure-theory paper with no quantitative implementation, or applied work where the model is decorative.

## Re-routing decision

- Pure econometric theory / estimators with proofs → `econometric-theory` or `the-econometrics-journal`; applied-econometrics methods → `journal-of-econometrics`.
- General-interest structural work with broad ambition → `american-economic-review`; macro-structural → `aej-macroeconomics` or `journal-of-monetary-economics`.
- Theory-only contributions → `journal-of-economic-theory`; behavioral/experimental → `journal-of-economic-behavior-and-organization`.

## Output format

```text
[Fit] High / Medium / Low (one-line reason)
[Target] Quantitative Economics
[Topic tags] <2–3 closest topics>
[Method/evidence] <do the model and quantitative implementation clear this venue's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / JEL / open-access / replication archive / computation docs>
[Re-route suggestion] <if not a fit, a better-matched venue>
```

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →