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

Econometric Theory

ASecurity

Use when targeting Econometric Theory (ET) or deciding whether an econometric-theory 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

Works with

cli

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

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

Installs into .claude/skills of the current project.

Are you the author of Econometric Theory?

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

Security grade badge for Econometric Theory
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-econometric-theory/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-econometric-theory)

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

Download with Pro
Files
SKILL.md
---
name: econometric-theory
description: Use when targeting Econometric Theory (ET) or deciding whether an econometric-theory manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
---

# Econometric Theory (econometric-theory)

## Journal positioning

Econometric Theory is a specialist journal for econometric theory: asymptotic and finite-sample distribution theory, and the mathematical foundations of estimation and inference. It is highly technical and proof-driven; the value of a paper is the rigor and depth of its theoretical result, not an empirical application. What wins here is a correct, non-trivial theoretical contribution that advances the limit theory, the distributional analysis, or the mathematical understanding of an estimator or test. The readership is theoretical econometricians and mathematically inclined statisticians.

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 Cambridge University Press / journal site and the submission system.

## When to trigger

- The author names Econometric Theory (ET) as the target venue.
- A paper's core is a theorem about an estimator, test, or process — asymptotics, limit theory, or finite-sample distributions.
- A methods paper is too theory-heavy for an applied-econometrics venue and needs the proof-driven ET framing.
- The author needs ET's desk-reject risks and a credible econometric-theory alternative list.

## Scope & topic fit

- Asymptotic theory: limit distributions, rates of convergence, functional limit theorems, and large-sample analysis of estimators and tests.
- Finite-sample theory: exact distributions, expansions (Edgeworth, saddlepoint), and bias / higher-order results.
- Time-series and nonstationary econometrics: unit roots, cointegration, long memory, locally stationary processes.
- Semiparametric / nonparametric theory, high-dimensional theory, and the probabilistic and mathematical foundations of inference.

## Method & evidence bar

- The contribution is the theorem: results must be correct, rigorously proved, and non-trivial, with clearly stated assumptions and regularity conditions.
- Generality and sharpness matter — weaker conditions, sharper rates, or more general processes than existing results.
- Proofs are the heart of the paper and are expected to be complete and self-contained or fully referenced.
- Empirical illustration and Monte Carlo are optional and secondary; they never substitute for the theory.

## Structure & house style

- The introduction should state the theoretical problem, the assumptions, the main result, and how it strengthens or generalizes existing theory.
- Frame as a theory paper: theorems, lemmas, and proofs carry the contribution; applications are illustrative at most.
- Use precise, standard mathematical notation and a clean theorem-proof structure; state conditions explicitly.
- Relegate long proofs and technical lemmas to appendices; the main text should make the result and its significance clear.

## 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 "Econometric Theory submission guidelines / instructions for authors" and follow the current Cambridge University Press version.
- Re-check length, abstract and JEL/keyword requirements, mathematical-notation and reference style, and anonymization expectations.
- Re-check any supplementary-material policy for extended proofs and the data/code policy if an empirical illustration is included.
- If the live official instructions conflict with this skill, the official instructions win.

## Pre-submission self-check

- [ ] One sentence stating the theoretical result and how it strengthens or generalizes existing theory.
- [ ] The contribution is a correct, non-trivial theorem with clearly stated assumptions, not an empirical finding.
- [ ] Proofs are complete, rigorous, and self-contained or fully referenced.
- [ ] Conditions are as weak / results as sharp as the contribution claims; notation is standard and precise.
- [ ] Any Monte Carlo or application is clearly secondary to the theory.

## Common desk-reject triggers

- An applied or methods paper whose core is an application, not a theorem.
- A result that is incremental, follows trivially from existing theory, or rests on incomplete / incorrect proofs.
- Overly strong or opaque assumptions that gut the result's value.
- Theory presented informally without rigorous statement and proof.

## Re-routing decision

- Methods with strong empirical / applied emphasis → `journal-of-econometrics`, `journal-of-applied-econometrics`, or `journal-of-business-and-economic-statistics`.
- European-based econometric theory and methods with broader scope → `the-econometrics-journal`; structural / quantitative methods → `quantitative-economics`.
- A flagship theoretical advance with discipline-wide reach → `econometrica`.

## Output format

```text
[Fit] High / Medium / Low (one-line reason)
[Target] Econometric Theory
[Topic tags] <2–3 closest topics>
[Method/evidence] <is the core a correct, non-trivial theorem that clears this venue's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / notation / JEL-keywords / supplementary proofs>
[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.

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 →