Stata
dylantmoore/stata-skill
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust…
A skill your agent uses when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret, discipline, or structure its empirical estimates — not to lead the…
Install Aeja Theory Model
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-theory-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeja-theory-model --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/AEJ-Applied-Economics-Skills/skills/aeja-theory-model .claude/skills/aeja-theory-model && rm -rf skills-srcUse ~/.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/
Install the "aeja-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Applied-Economics-Skills/skills/aeja-theory-model into .claude/skills/aeja-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeja-theory-model", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Applied-Economics-Skills/skills/aeja-theory-modelType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-theory-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeja-theory-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/AEJ-Applied-Economics-Skills/skills/aeja-theory-model .agents/skills/aeja-theory-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aeja-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Applied-Economics-Skills/skills/aeja-theory-model into .agents/skills/aeja-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeja-theory-model", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-theory-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeja-theory-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/AEJ-Applied-Economics-Skills/skills/aeja-theory-model .cursor/skills/aeja-theory-model && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aeja-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Applied-Economics-Skills/skills/aeja-theory-model into .cursor/skills/aeja-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeja-theory-model", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path AEJ-Applied-Economics-Skills/skills/aeja-theory-model--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-theory-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeja-theory-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/AEJ-Applied-Economics-Skills/skills/aeja-theory-model .gemini/skills/aeja-theory-model && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aeja-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Applied-Economics-Skills/skills/aeja-theory-model into .gemini/skills/aeja-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeja-theory-model", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeja-theory-modelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-theory-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/AEJ-Applied-Economics-Skills/skills/aeja-theory-model .github/skills/aeja-theory-model && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aeja-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Applied-Economics-Skills/skills/aeja-theory-model into .github/skills/aeja-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeja-theory-model", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-theory-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeja-theory-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/AEJ-Applied-Economics-Skills/skills/aeja-theory-model .opencode/skills/aeja-theory-model && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aeja-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Applied-Economics-Skills/skills/aeja-theory-model into .opencode/skills/aeja-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeja-theory-model", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
aeja-theory-model- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 603 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret, discipline, or structure its empirical estimates — not to lead the…
- An American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret
- SKILL.md covers When to trigger, The AEJ: Applied theory dial, Checklist and Anti-patterns, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Structure its empirical estimates — not to lead the paper
What it does
Aeja Theory Model is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret, discipline, or structure its empirical estimates — not to lead the paper. Calibrates how much theory belongs in an empirical-first journal and where it goes; it does not design the identification (aeja-identification) or build a standalone structural estimation.
Its SKILL.md is about 1.3k 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 Econometrics and empirical research. 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
- An American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret
- Structure its empirical estimates — not to lead the paper
Example prompts
- “/aeja-theory-model”
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
Aeja Theory Model loads about 1.3k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 603 words of instructions outside code blocks.
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). 603 words, ~1,305 tokens.
Download SKILL.mdSave it as
.claude/skills/aeja-theory-model/SKILL.md (or your agent's skills folder).- name
- aeja-theory-model
- description
- Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret, discipline, or structure its empirical estimates — not to lead the paper. Calibrates how much theory belongs in an empirical-first journal and where it goes; it does not design the identification (aeja-identification) or build a standalone structural estimation.
Theory & Model for Interpretation (aeja-theory-model)
When to trigger
- A referee asks "what is the mechanism / what model rationalizes this?"
- The reduced-form estimate is credible but its economic meaning is ambiguous
- You want a welfare statement, an elasticity, or a counterfactual the raw estimate cannot deliver
- You are tempted to lead the paper with a full structural model and need to right-size it for AEJ: Applied
The AEJ: Applied theory dial
AEJ: Applied is empirical-first. Theory earns its place only when it interprets the estimate, sharpens the estimand, or unlocks a magnitude the design cannot deliver alone — never as the headline. Pick the lightest tool that does the job and keep the empirical estimate the star.
| Theory's job | Right amount of model | Where it goes |
|---|---|---|
| Name the mechanism | a few equations / a conceptual framework | short section before results |
| Map a reduced-form coefficient to a structural parameter | a sufficient-statistic / envelope argument | inline derivation + appendix |
| Deliver a welfare or counterfactual number | a calibrated or partially-structural model | a dedicated section, clearly bounded |
| Discipline heterogeneity / sign predictions | a simple model generating testable comparative statics | framework section, tested in results |
Sufficient-statistic style (often the AEJ: Applied sweet spot)
Where possible, express the welfare/policy object as a function of estimable elasticities (a Harberger/Chetty-style sufficient statistic) rather than estimating a full structural model. This keeps the credibility in the reduced-form design while delivering an economic magnitude. State the assumptions under which the sufficient statistic is valid and what it omits.
When a fuller model is warranted
If the question genuinely requires out-of-sample counterfactuals or unobservable primitives, a small structural model is acceptable — but tie each parameter to a data feature, validate against an untargeted moment, and never let the model's assumptions silently replace the identification the design provided.
Checklist
- Theory's job named (mechanism / mapping / welfare / comparative statics)
- Lightest adequate tool chosen; model does not upstage the empirical estimate
- If a sufficient statistic: the estimable elasticities and validity assumptions stated
- If structural: each parameter tied to a data feature; an untargeted-moment validation shown
- Comparative statics / sign predictions made before they are tested
- Welfare/counterfactual numbers carry their own uncertainty and stated scope
Show full SKILL.md (251 more words)Show less
Anti-patterns
- Leading an empirical AEJ: Applied paper with a full structural model (reads as a different journal)
- A "model" section that is decorative — adds notation but no testable prediction or magnitude
- Letting model assumptions quietly substitute for the identification the design was supposed to provide
- A welfare number with no uncertainty and no statement of what the model omits
- Comparative statics derived after seeing the results (HARKing the theory)
Worked vignette (illustrative)
A clean RD shows a tuition subsidy raises enrollment by 4.2pp (s.e. 1.1). The number is credible but the policy question is the welfare gain. Instead of building a full college-choice model, the paper uses a sufficient-statistic argument: the marginal value of public funds depends on the enrollment elasticity (estimated) and the fiscal externality of an extra graduate (calibrated from administrative tax data). This yields an MVPF of ~1.3 (illustrative) with a stated range, while the credibility still rests on the RD — the AEJ: Applied ideal.
Referee pushback mapped to the theory fix
- "What is the mechanism behind this reduced-form effect?" → Add a short framework with a sign prediction you then test, or a channel-distinguishing test in the data — not more notation.
- "This number is not policy-relevant without a welfare interpretation." → Express the welfare object as a sufficient statistic of estimable elasticities; state the assumptions that make it valid.
- "Your structural model just assumes the result." → Tie each parameter to a data feature and validate against an untargeted moment; keep the credibility anchored in the reduced-form design.
Output format
【Theory's job】mechanism / reduced-to-structural mapping / welfare / comparative statics
【Tool chosen】framework / sufficient statistic / small structural model
【Key relation】estimand = f(estimable elasticities / parameters): ___
【Validity assumptions + what it omits】[...]
【Magnitude delivered】[number + uncertainty + scope], or "none — interpretation only"
【Next step】aeja-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 AEJ-Applied-Economics-Skills/skills/aeja-theory-model of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aeja Theory Model 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aeja Theory Model this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Statadylantmoore/stata-skill | 291 | 1 repos | ~4.2k | Automated safety check: Pass | Custom licence | |
| Stata C Pluginsdylantmoore/stata-skill | 291 | 1 repos | ~5.8k | Automated safety check: Pass | Custom licence | |
| Example Datasetspymc-labs/CausalPy | 1.2k | — | ~587 | Automated safety check: Pass | Apache-2.0 | |
| Stata AuditSepineTam/mcp-for-stata | 264 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Stata Skill Contributordylantmoore/stata-skill | 291 | 1 repos | ~2.4k | Automated safety check: Pass | Custom licence |
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Categories
Questions about Aeja Theory Model
What does Aeja Theory Model do?
A skill your agent uses when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret, discipline, or structure its empirical estimates — not to lead the…. Aeja Theory Model is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret, discipline, or structure its empirical estimates — not to lead the paper.
When should I use Aeja Theory Model?
Aeja Theory Model fits situations like: an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret; structure its empirical estimates — not to lead the paper.
How do I install Aeja Theory Model in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-theory-model -a claude-code`. Or copy the skill folder (AEJ-Applied-Economics-Skills/skills/aeja-theory-model in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aeja-theory-model in your project. Claude Code loads it when a task matches its description.
How do I install Aeja Theory Model in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-theory-model -a codex`. Or copy the skill folder (AEJ-Applied-Economics-Skills/skills/aeja-theory-model in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aeja-theory-model in your project. Codex loads it when a task matches its description.
Can I use Aeja Theory Model 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 aeja-theory-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aeja-theory-model, .gemini/skills/aeja-theory-model, .github/skills/aeja-theory-model and .opencode/skills/aeja-theory-model in your project.
What does Aeja Theory Model need to run?
SKILL.md names no scripts, command-line tools or credentials: Aeja Theory Model is instructions for the agent only.
Does Aeja Theory Model 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 Aeja Theory Model 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 Aeja Theory Model use?
Aeja Theory Model 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 Aeja Theory Model use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Aeja Theory Model?
Skills that share tags, products or a category with Aeja Theory Model: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aeja Theory Model?
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.