Individual skill
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).
Journal-of-Accounting-Research-Skills/skills/jar-methods/SKILL.md
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- Sep 27, 2026
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# 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)