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

Jpe Topic Selection

ASecurity

Use when scoping or framing a research question for a Journal of Political Economy (JPE) manuscript and you need to test whether it is "JPE-shaped" — i.e., a mechanism-driven economic question, not an atheoretical correlation. Diagnoses fit and frames the contribution; it does not design the empirics.

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 jpe-topic-selection --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Jpe Topic Selection?

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

Security grade badge for Jpe Topic Selection
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-jpe-topic-selection/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-jpe-topic-selection)

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

Download with Pro
Files
SKILL.md
---
name: jpe-topic-selection
description: Use when scoping or framing a research question for a Journal of Political Economy (JPE) manuscript and you need to test whether it is "JPE-shaped" — i.e., a mechanism-driven economic question, not an atheoretical correlation. Diagnoses fit and frames the contribution; it does not design the empirics.
---

# Topic Selection & Fit (jpe-topic-selection)

## When to trigger

- You have data or a result but not yet a sharp economic question
- You are unsure whether the paper belongs at JPE, a field journal, or a methods journal
- The pitch is "X is correlated with Y" with no mechanism or model behind it
- You are deciding between JPE proper and the **2023-launched companion journals** (JPE Microeconomics, lead editor John List; JPE Macroeconomics, lead editor Greg Kaplan)

## The JPE fit test

JPE (founded 1892, edited at the University of Chicago; lead editor Esteban Rossi-Hansberg) publishes the full breadth of economics, but with a premium on **rigorous economic reasoning** and a **price-theoretic / mechanism-driven** angle — the Chicago lineage of Becker's "Crime and Punishment: An Economic Approach" (JPE 1968) and Black and Scholes's "The Pricing of Options and Corporate Liabilities" (JPE 1973). Score the idea against these five questions before committing:

1. **Mechanism** — Can you state the economic mechanism in one sentence, and does the paper test *that mechanism* (not just a net effect)?
2. **Theory linkage** — Does economic theory make a prediction here that your evidence can confirm or refute? "Theory predicts ∂y/∂x > 0; we estimate it and find..."
3. **Generality** — Is the lesson portable beyond the specific setting, or is it a one-off policy evaluation? JPE wants the former.
4. **Incentives / equilibrium** — Have you considered how agents optimize and how the market clears? A Chicago referee will. Partial-equilibrium stories that ignore obvious GE feedback are vulnerable.
5. **Importance** — Would a non-specialist economist care about the answer? Top-five papers move a literature, not a niche.

If you score high on 3+ including (1) and (2), it is plausibly JPE-shaped. If the idea is essentially "we ran a clean DID on policy P," it is a field-journal paper until you supply the mechanism and the general lesson.

## JPE proper vs. the companion journals (a routing choice that does not exist at AER or QJE)

Since the **2023 launch** of the vertically integrated companions (first issues March 2023):

- **JPE proper**: broad importance; theory + empirics integrated; appeals across fields.
- **JPE Microeconomics** (lead editor John List, University of Chicago): micro theory, IO, contract/market design, applied micro with a tight mechanism.
- **JPE Macroeconomics** (lead editor Greg Kaplan, University of Chicago): macro, growth, monetary, fiscal, quantitative macro / structural.
- A narrow but deep contribution that a generalist would skip often fits a companion better — and a desk rejection at JPE proper sometimes routes there.

## Contribution framing (do this before writing the intro)

State the contribution as a numbered set of claims, each tied to economics — not to data novelty alone:

- **Claim 1 (the economics):** what economic force / margin the paper identifies and why it was not obvious.
- **Claim 2 (the evidence or theory):** how you establish it (model result, structural estimate, or credibly identified effect).
- **Claim 3 (the broader implication):** what the result implies for theory, welfare, or other settings.

"We are the first to use dataset D" is not a contribution. "We isolate the [substitution / selection / general-equilibrium] channel that prior work conflated" is.

## Checklist

- [ ] One-sentence mechanism written down and falsifiable
- [ ] An explicit theoretical prediction the paper tests
- [ ] The general economic lesson stated (portable beyond the setting)
- [ ] Equilibrium / incentive / selection considerations acknowledged
- [ ] JPE proper vs. field outlet decision made and justified
- [ ] Contribution drafted as economic claims, not data/method firsts
- [ ] Two or three living economists who would referee this can be named, and the paper answers a question they care about

## Anti-patterns

- An atheoretical correlation dressed up with controls — "kitchen-sink regression in search of a story"
- A clean policy evaluation with no model and no portable lesson (reads as a working paper)
- Claiming novelty from a dataset rather than from an economic insight
- Ignoring obvious general-equilibrium feedback (e.g., estimating a partial effect a referee will say nets out in equilibrium)
- Targeting JPE proper with a narrow field contribution that a generalist would not finish reading

## Output format

```
【Question】one-sentence economic question
【Mechanism】the economic channel being tested
【Theory prediction】sign/shape theory predicts + the test
【General lesson】what economics learns beyond this setting
【Outlet】JPE proper / JPE Microeconomics / JPE Macroeconomics (+ why)
【Contribution claims】1... 2... 3...
【Fit verdict】JPE-shaped / reframe / field journal
【Next】jpe-literature-positioning
```

Attribution

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

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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', ...

686011 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.

651 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 →