Agent skill

ectheory-topic-selection

Use when deciding whether a result is the right kind of contribution for Econometric Theory (ET) — a general, foundational econometric-theory result (asymptotics, proofs, theorems) rather than an applied estimate, and whether it fits a full Article or a short Miscellanea.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectheory-topic-selection --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: Econometric-Theory-Skills/skills/ectheory-topic-selection/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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

# Topic Selection (ectheory-topic-selection) ## When to trigger - You have a new estimator, limit result, or proof and are choosing a target journal - Unsure whether the result is "ET-foundational" or really an applied/empirical paper - Deciding between a full **Article** and a short **Miscellanea** - Wondering whether the result fits one of ET's themed special-issue directions ## The ET fit bar ET rewards **rigorous, general contributions to the mathematical and statistical foundations of econometrics** — asymptotic theory, probability-theoretic methods, time-series and nonstationarity theory, high-dimensional and non-standard environments. The question to answer first: *does this result teach econometricians something about a method, a limit, or an inferential problem in generality*, rather than reporting one applied estimate? An empirical application is welcome only as illustration; the spine must be theory. Signals of a good ET topic: - A **new limit theory** (consistency, asymptotic normality, rate, FCLT) under explicitly stated, defensible regularity conditions - A method whose **inferential properties** (size, power, robustness, partial identification) are characterized, not

What's inside
Steps it walks through
  1. When to trigger
  2. The ET fit bar
  3. Article vs Miscellanea
  4. Checklist
  5. Anti-patterns
  6. Fit-vs-venue routing table
  7. Fit pass for Econometric Theory
  8. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the ectheory-topic-selection skill do?

Use when deciding whether a result is the right kind of contribution for Econometric Theory (ET) — a general, foundational econometric-theory result (asymptotics, proofs, theorems) rather than an applied estimate, and whether it fits a full Article or a short Miscellanea.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectheory-topic-selection --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 984 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