Agent skill · Testing & QA

jar-theory-development

Use when building the economic mechanism and deriving signed, falsifiable predictions for a Journal of Accounting Research (JAR) manuscript — grounding hypotheses in information economics, contracting, and disclosure theory rather than psychology-style construct chains. Builds the mechanism; it does not design the empirical test (jar-methods) or run it (jar-data-analysis).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jar-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: Journal-of-Accounting-Research-Skills/skills/jar-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 (jar-theory-development) ## When to trigger - Predictions are descriptive ("X is associated with Y") with no economic channel - A referee asks "what is the mechanism?" or "why would a rational agent do this?" - The sign of the effect is ambiguous and needs an explicit argument - You need to motivate an empirical prediction from an analytical/agency model ## How JAR theorizes: economics first JAR's dominant tradition is **positive, economics-based** accounting research. Predictions are derived from the behavior of informed economic agents — managers, investors, analysts, auditors, regulators — under asymmetric information, contracting frictions, and proprietary costs. The relevant toolkit is **information economics** (signaling, disclosure, adverse selection), **agency/contracting theory** (incentives, monitoring, debt covenants), **market price-formation** logic (how information enters prices and expectations, in the Ball-Brown lineage), and **standard-setting/political-economy** arguments. This is *not* the latent-construct, mediator-moderator style of psychology-based fields: a JAR mechanism is an economic argument about incentives and informatio

What's inside
Steps it walks through
  1. When to trigger
  2. How JAR theorizes: economics first
  3. Build the mechanism
  4. Registered Reports note
  5. Checklist
  6. Anti-patterns
  7. Output format
  8. Resources
More from Awesome-Journal-Skills
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About this skill
What does the jar-theory-development skill do?

Use when building the economic mechanism and deriving signed, falsifiable predictions for a Journal of Accounting Research (JAR) manuscript — grounding hypotheses in information economics, contracting, and disclosure theory rather than psychology-style construct chains. Builds the mechanism; it does not design the empirical test (jar-methods) or run it (jar-data-analysis).

How do I install it?

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