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).
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.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- When to trigger
- How JAR theorizes: economics first
- Build the mechanism
- Registered Reports note
- Checklist
- Anti-patterns
- Output format
- Resources
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.