jar-methods
Use when the research design and identification strategy are the bottleneck for a Journal of Accounting Research (JAR) manuscript — choosing the setting, source of identifying variation, and sample to support a causal accounting claim. Designs the study; it does not run the estimation, clustering, or robustness (jar-data-analysis).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jar-methods --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.
# Research Design & Identification (jar-methods) ## When to trigger - The design is a panel regression with no source of identifying variation - The claim is causal but the variation is observational/endogenous - A referee says "this is correlation, not causation" or "the channel is unidentified" - You must choose between an archival, experimental, analytical, or field design ## JAR's dominant design: empirical-archival capital markets JAR's defining methodology is **large-sample empirical-archival capital-markets** research (financial-statement and market-data econometrics in the **Ball-Brown** lineage). The journal also publishes **experimental**, **analytical/modeling**, and **field-study** work, and the **Registered Reports** track is well suited to higher-outcome-risk designs that require new data collection. The bar across all of them is **credible identification**: a referee must believe the estimate reflects the economic effect you claim, not an omitted variable, reverse causality, or selection. ## Find identifying variation (the core archival problem) | Theoretical claim | Identification that earns it | |-------------------|------------------------------| | Effect of a rul
- When to trigger
- JAR's dominant design: empirical-archival capital markets
- Find identifying variation (the core archival problem)
- Sample and reproducibility from the start
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
- Resources
What does the jar-methods skill do?
Use when the research design and identification strategy are the bottleneck for a Journal of Accounting Research (JAR) manuscript — choosing the setting, source of identifying variation, and sample to support a causal accounting claim. Designs the study; it does not run the estimation, clustering, or robustness (jar-data-analysis).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jar-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.