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Agent skill

Ecj Identification

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when the empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID, IV, RDD, event study) or structural…

MITAuto-check passedResearch & Science

Install Ecj Identification

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-identification -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ecj-identification --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/The-Economic-Journal-Skills/skills/ecj-identification .claude/skills/ecj-identification && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ecj-identification
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
782 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID, IV, RDD, event study) or structural…

  • Works in 2 steps: Credible identification — the estimate… → Economic meaning of broad interest — the…
  • The empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID
  • SKILL.md covers When to trigger, The EJ bar: credible…, Design priority (strong →… and Branch paths, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ecj Identification is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID, IV, RDD, event study) or structural estimation. Stress-tests the design and its economic interpretation before drafting tables; it does not write the model from scratch (see ecj-theory-model).

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Load testing and Experimental design. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • The empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID
  • Structural estimation

Example prompts

  • “/ecj-identification”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Credible identification — the estimate isolates the causal/structural object you claim, to a standard a demanding referee accepts.
  2. Economic meaning of broad interest — the estimate maps onto a parameter or margin that economists outside the subfield care about. A…

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ecj Identification loads about 1.8k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 782 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 782 words, ~1,793 tokens.

Download SKILL.mdSave it as .claude/skills/ecj-identification/SKILL.md (or your agent's skills folder).
name
ecj-identification
description
Use when the empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID, IV, RDD, event study) or structural estimation. Stress-tests the design and its economic interpretation before drafting tables; it does not write the model from scratch (see ecj-theory-model).

Identification & Economic Interpretation (ecj-identification)

When to trigger

  • The empirical core is OLS + controls with no defended causal claim
  • Staggered DID estimated with TWFE without addressing heterogeneity-bias critiques
  • IV with a weak first stage or a thin exclusion argument
  • Structural estimation where the source of parameter identification is not spelled out
  • A clean causal effect exists but its economic interpretation, and its general relevance, are not pinned down

The EJ bar: credible identification AND broad economic meaning

EJ accepts both reduced-form and structural work across all fields, but the bar has two parts that must both clear:

  1. Credible identification — the estimate isolates the causal/structural object you claim, to a standard a demanding referee accepts.
  2. Economic meaning of broad interest — the estimate maps onto a parameter or margin that economists outside the subfield care about. A precisely identified but parochial effect is a field-journal paper here, because EJ's defining bar is broad relevance.

Reduced-form work should connect to a model or mechanism (see ecj-theory-model); structural work must make its identification transparent. Because EJ runs a reproducibility check via the EJ Data Editor before final acceptance (DCAS-endorsed; deposit to Zenodo — see ecj-replication-package), every identification claim must come from code that actually executes and reproduces. EJ's exposition premium also applies here: the identifying assumption must be stated in plain words a generalist can evaluate, not hidden in notation.

Design priority (strong → acceptable)

The right design is dictated by the economics, not by fashion. As a rough ordering of what travels well at EJ:

  1. Quasi-experiment (DID, RDD, event study) mapped to a model prediction — reduced form whose coefficient has a stated, broadly interesting economic interpretation.
  2. Structural estimation tied to a model — when the question is about a deep parameter, welfare, or counterfactuals; identification of parameters argued explicitly.
  3. Strong IV with a theory-grounded exclusion restriction — first-stage strength plus an economic story for exogeneity and exclusion.
  4. RCT / lab evidence interpreted through a mechanism, with external-validity discussion.
  5. OLS with a serious endogeneity discussion — acceptable in theory-empirics or descriptive-with-model papers, not as the sole causal claim.

Branch paths

Branch A — DID / event study
  • Staggered timing? Diagnose negative-weighting with Goodman-Bacon; estimate with a heterogeneity-robust estimator (Callaway–Sant'Anna, Sun–Abraham, de Chaisemartin–D'Haultfœuille, or Borusyak–Jaravel–Spiess).
  • Pre-trends: show the event-study plot; do not lean only on a low-power joint pre-trend test — argue economically why pre-trends are flat.
  • Map the coefficient to a model object: what does the ATT mean economically, and for whom does it generalize?
  • Placebo: randomize treatment timing/units; report the distribution.
Branch B — IV
  • First-stage strength: report effective F (Montiel Olea–Pflueger); if weak, use Anderson–Rubin / weak-IV-robust CIs.
  • Exclusion: defend in three registers — theory, institutional detail, and a placebo/over-identification check.
  • Report the reduced form, not just 2SLS.
  • State the LATE interpretation: whose behavior does the instrument move, and is that the population the economics is about?
Show full SKILL.md (313 more words)Show less
Branch C — RDD
  • McCrary / rddensity manipulation test.
  • Optimal bandwidth (Calonico–Cattaneo–Titiunik) plus ≥3 bandwidth-robustness checks; bias-corrected CIs.
  • Covariate smoothness at the cutoff; placebo cutoffs.
Branch D — Structural estimation
  • State the model's microfoundations and the moments/variation that identify each parameter (a "what identifies what" paragraph is expected).
  • External validation: do estimated parameters match independent evidence or untargeted moments?
  • Provide counterfactuals and welfare, and show sensitivity to key assumptions.

Execution bridge (StatsPAI / Stata MCP)

Estimate and audit the design, don't only describe it. Full map: execution-with-mcp. The Economic Journal is general-interest economics; the DiD/IV/RDD chain serves its broad applied lane.

  • detect_design → recommend → fit with as_handle=true → audit_result.
  • Observational causal claims: staggered DiD (callaway_santanna / sun_abraham + bacon_decomposition + honest_did_from_result); IV (effective_f_test + anderson_rubin_ci); RDD (rdrobust + mccrary_test).
  • Experiments: randomization-based inference + romano_wolf for many-outcome control.
  • Sensitivity: oster_delta / sensemakr for observational claims.

Report the magnitude in interpretable units; route the full battery to the appendix. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.

Checklist

  • Identifying assumption stated in one plain sentence and defended economically
  • Design-appropriate diagnostics done (pre-trends / first-stage F / manipulation test / parameter identification)
  • Placebo or falsification test reported
  • Standard errors clustered at the level of treatment assignment, justified
  • The estimated object is given an explicit economic interpretation of broad interest
  • Reduced-form work connects to a model or mechanism; structural work makes identification transparent
  • Selection / general-equilibrium / external-validity threats to interpretation acknowledged
  • The numbers come from code that runs (EJ Data Editor will rerun it)

Anti-patterns

  • TWFE on staggered treatment with no discussion of heterogeneity bias
  • A precisely identified effect with no statement of what it means, or of why a generalist should care
  • IV exclusion asserted ("we argue the instrument is exogenous") without evidence
  • Structural estimates with no "what identifies what" discussion — the model becomes a black box
  • Clustering at the wrong level to manufacture significance
  • An identification claim resting on numbers the deposited code cannot reproduce

Output format

【Design】structural / DID / IV / RDD / event study / other
【Identifying assumption】one plain sentence
【Economic interpretation of the estimate】... (and why it is of broad interest)
【Diagnostics done】[pre-trends, first-stage F, manipulation, param-ID, ...]
【Diagnostics missing】[...]
【Clustering level】... (justification)
【External-validity / GE caveats】...
【Next】ecj-theory-model (if mechanism not yet formalized) or ecj-robustness

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in The-Economic-Journal-Skills/skills/ecj-identification of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ecj Identification next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ecj Identification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ecj Identification this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.8kAutomated safety check: PassMIT
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Cfe Identificationfranklee16/academic-research-skills2231 repos~541Automated safety check: PassNone
Cre Identificationfranklee16/academic-research-skills2231 repos~602Automated safety check: PassNone
Jpe Identificationfranklee16/academic-research-skills2231 repos~1.5kAutomated safety check: PassNone
Mw Identificationfranklee16/academic-research-skills2231 repos~411Automated safety check: PassNone

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Categories

Questions about Ecj Identification

What does Ecj Identification do?

A skill your agent uses when the empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID, IV, RDD, event study) or structural…. Ecj Identification is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID, IV, RDD, event study) or structural estimation.

When should I use Ecj Identification?

Ecj Identification fits situations like: the empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID; structural estimation.

How do I install Ecj Identification in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-identification -a claude-code`. Or copy the skill folder (The-Economic-Journal-Skills/skills/ecj-identification in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ecj-identification in your project. Claude Code loads it when a task matches its description.

How do I install Ecj Identification in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-identification -a codex`. Or copy the skill folder (The-Economic-Journal-Skills/skills/ecj-identification in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ecj-identification in your project. Codex loads it when a task matches its description.

Can I use Ecj Identification in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-identification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ecj-identification, .gemini/skills/ecj-identification, .github/skills/ecj-identification and .opencode/skills/ecj-identification in your project.

What does Ecj Identification need to run?

SKILL.md names no scripts, command-line tools or credentials: Ecj Identification is instructions for the agent only.

Does Ecj Identification access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ecj Identification safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ecj Identification use?

Ecj Identification is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ecj Identification use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ecj Identification?

Skills that share tags, products or a category with Ecj Identification: Academic Grill (Exekiel179/psyclaw, 103 stars), Cfe Identification (franklee16/academic-research-skills, 223 stars), Cre Identification (franklee16/academic-research-skills, 223 stars) and Jpe Identification (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ecj Identification?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.