car-data-analysis
Use when running and reporting the analysis for a Contemporary Accounting Research (CAR) manuscript — the right estimator for archival/capital-markets, experimental, or analytical-calibration work, robustness, and CAR's Data Integrity & Code Sharing Policy (code archiving, variable definitions, data availability statement). Executes and reports; it does not design the study (car-methods).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill car-data-analysis --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.
# Data Analysis & Reproducibility (car-data-analysis) ## When to trigger - Data are collected and it is time to estimate and report - You are unsure the estimator matches the design (panel, experiment, limited DV) - Reviewers will probe identification, robustness, or measurement choices - You must prepare the code, variable definitions, and data availability statement CAR requires ## Choose the estimator that matches the design | Data / claim | Estimator | |--------------------------------------------------|--------------------------------------------------------------------| | Firm-year panel, archival effect | OLS/panel with firm & year fixed effects; SE clustered by firm | | Causal archival claim | Difference-in-differences, IV/2SLS, RD, entropy balancing/matching | | Randomized experiment | ANOVA/ANCOVA, planned contrasts; report cell means and effect sizes| | Process/mechanism (experiment) | Mediation with bootstrap CIs; moderated mediation as theorized | | Binary/count/censored outcome | Logit/probit, Poisson/NB, Tobit as fits | | Analytical predictions | Calibration/simulation or an archival test of the model's implications | Cluster standard errors to match the data structu
- When to trigger
- Choose the estimator that matches the design
- Robustness CAR reviewers expect
- Data Integrity & Code Sharing Policy (CAR-specific, plan from the start)
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the car-data-analysis skill do?
Use when running and reporting the analysis for a Contemporary Accounting Research (CAR) manuscript — the right estimator for archival/capital-markets, experimental, or analytical-calibration work, robustness, and CAR's Data Integrity & Code Sharing Policy (code archiving, variable definitions, data availability statement). Executes and reports; it does not design the study (car-methods).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill car-data-analysis --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.