Agent skill · Data & Analytics

tar-methods

Use when the research design and identification strategy are the bottleneck for a The Accounting Review (TAR) manuscript — choosing the setting, shock, and design that credibly identify an accounting effect, or structuring an analytical model or experiment. Designs the study; it does not run the estimation and robustness (tar-data-analysis) or frame the contribution (tar-contribution-framing).

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill tar-methods --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: The-Accounting-Review-Skills/skills/tar-methods/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

# Research Design & Identification (tar-methods) ## When to trigger - Your treatment (a disclosure, a standard adoption, an audit/tax regime) may be endogenous - Adoption is staggered across firms/years and you need a defensible DiD - You have an association and a reviewer will ask "is this causal or just correlation?" - You are designing an experiment to isolate a channel archival data cannot separate - You are building an analytical model and need to fix primitives and solution concept ## TAR is method-agnostic but identification-obsessed TAR's stated policy is open to all rigorous methods; the bar is the contribution. In the dominant **large-sample archival** lane, "rigorous" almost always means a **credible identification strategy**, because accounting treatments (disclosure choices, conservatism, auditor selection, tax positions) are rarely randomly assigned. Pick the design that breaks the endogeneity for *your* accounting setting. ## Identification toolkit for archival accounting | Identification threat / setting | Design | |----------------------------------------------------------|--------------------------------------------------------------| | Regulation / standard adopt

What's inside
Steps it walks through
  1. When to trigger
  2. TAR is method-agnostic but identification-obsessed
  3. Identification toolkit for archival accounting
  4. If the lane is experimental
  5. If the lane is analytical
  6. Design hygiene
  7. Execution bridge (StatsPAI / Stata MCP)
  8. Checklist
  9. Anti-patterns
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the tar-methods skill do?

Use when the research design and identification strategy are the bottleneck for a The Accounting Review (TAR) manuscript — choosing the setting, shock, and design that credibly identify an accounting effect, or structuring an analytical model or experiment. Designs the study; it does not run the estimation and robustness (tar-data-analysis) or frame the contribution (tar-contribution-framing).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill tar-methods --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