Agent skill · Data & Analytics

jape-contribution-framing

Use when framing the headline contribution of a Journal of Applied Econometrics (JAE) manuscript — as an empirical application on real data whose results are replicable, rather than a pure-theory advance. Calibrates claims to what the data and design support and compresses into the 100-word summary.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jape-contribution-framing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Journal-of-Applied-Econometrics-Skills/skills/jape-contribution-framing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Contribution Framing for JAE (jape-contribution-framing) ## When to trigger - Writing or sharpening the contribution paragraph and the 100-word summary - Deciding how strongly to claim, given the design and the real data - Aligning the framing with JAE's applied, replicable identity ## Frame the contribution the JAE way JAE rewards a contribution that is an **application on real data** with **replicable** results: here is a substantive question, here is a credible empirical strategy applied to real data, here is what we find, and every number can be regenerated from the data and code we deposit. Acceptable types: - A **new empirical finding** on an economic question via a credible design; - A **methodological application** — adapting or stress-testing a technique on real data, with the application (not the theorem) as the contribution; - A **replication** that confirms, qualifies, or overturns published results (Replication Article track). Pure theoretical novelty ("we prove a new asymptotic result") is **not** the JAE contribution; if you have method development, frame the *real-data demonstration* as the payoff. ## Calibrate the claim Applied-econometrics referees punish over-c

What's inside
Steps it walks through
  1. When to trigger
  2. Frame the contribution the JAE way
  3. Calibrate the claim
  4. Fit the 100-word summary
  5. Desk-level signals the JAE editor screens for
  6. Worked vignette: framing an exchange-rate pass-through paper
  7. Referee pushback on claims — venue-grade fixes
  8. Calibration: accepted-paper contribution texture
  9. Output format
  10. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the jape-contribution-framing skill do?

Use when framing the headline contribution of a Journal of Applied Econometrics (JAE) manuscript — as an empirical application on real data whose results are replicable, rather than a pure-theory advance. Calibrates claims to what the data and design support and compresses into the 100-word summary.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jape-contribution-framing --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.

Keep going