Agent skill · Data & Analytics

car-theory-development

Use when building the conceptual engine of a Contemporary Accounting Research (CAR) manuscript — the economic or behavioral mechanism, predictions/hypotheses, or the formal model — adapted to whether the paper is archival, experimental, analytical, or qualitative. Builds the argument; it does not run estimation (car-data-analysis) or frame the contribution (car-contribution-framing).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill car-theory-development --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: Contemporary-Accounting-Research-Skills/skills/car-theory-development/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

# Theory & Prediction Development (car-theory-development) ## When to trigger - Predictions are descriptive ("X is associated with Y") with no mechanism - An analytical paper has equations but no clear economic intuition - An experiment lacks a theory that pins down the predicted direction and the process - A reviewer says "this is atheoretical" or "the predictions don't follow from the framework" ## CAR develops theory differently by tradition Because CAR is method-agnostic, "theory development" means different things across its traditions, and a reader should never be able to swap in a generic management-theory template: - **Archival / capital-markets.** Ground predictions in economics-based frameworks (information asymmetry and disclosure, agency and contracting, market efficiency and the properties of accounting numbers). Derive *directional, falsifiable* predictions and, critically, predict **cross-sectional variation** — the moderators that make the effect stronger or weaker are where the theoretical content lives. State the maintained assumptions linking the accounting construct to the market outcome. - **Experimental.** Specify the **psychological/economic process** (e.g.,

What's inside
Steps it walks through
  1. When to trigger
  2. CAR develops theory differently by tradition
  3. Predictions and hypotheses
  4. Checklist
  5. Anti-patterns
  6. Operating pass for Contemporary Accounting Research
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the car-theory-development skill do?

Use when building the conceptual engine of a Contemporary Accounting Research (CAR) manuscript — the economic or behavioral mechanism, predictions/hypotheses, or the formal model — adapted to whether the paper is archival, experimental, analytical, or qualitative. Builds the argument; it does not run estimation (car-data-analysis) or frame the contribution (car-contribution-framing).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill car-theory-development --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