jpube-data-analysis
Use when handling the empirical analysis for a Journal of Public Economics (JPubE) manuscript — administrative tax/transfer/health/register data, elasticity and bunching estimation, sufficient-statistics and MVPF calculations, heterogeneity, and robustness. Executes the analysis plan; for the causal design itself use jpube-identification-strategy.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpube-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 (jpube-data-analysis) ## When to trigger - You are estimating a behavioral elasticity, take-up rate, or moral-hazard parameter - The analysis uses administrative or register microdata with disclosure constraints - You need to map estimates into welfare (DWL, MVPF, sufficient statistics) - Robustness, heterogeneity, or measurement concerns are unresolved ## What JPubE analysis looks like Public economics at JPubE is typically built on **large administrative or register data** — tax records (IRS/SOI), social-insurance files (UI/DI/SSA), health-program data (Medicaid/CMS), or whole-population European registers — because credible policy elasticities need population-scale variation around kinks, notches, and reform dates. The analysis should convert clean identification into a **policy-relevant quantity**, not stop at a coefficient. ## Analysis norms - **Estimate the policy parameter directly.** Recover the taxable-income / labor-supply elasticity, the take-up or crowd-out rate, or the insurance-vs.-moral-hazard wedge that the welfare argument needs. - **Sufficient statistics & MVPF.** Where you claim a welfare verdict, show the mapping from estimated responses to the f
- When to trigger
- What JPubE analysis looks like
- Analysis norms
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Worked example: from elasticity to a welfare number (illustrative)
- Calibration table: estimate → welfare object
- Evidence pass for Journal of Public Economics
- Output format
What does the jpube-data-analysis skill do?
Use when handling the empirical analysis for a Journal of Public Economics (JPubE) manuscript — administrative tax/transfer/health/register data, elasticity and bunching estimation, sufficient-statistics and MVPF calculations, heterogeneity, and robustness. Executes the analysis plan; for the causal design itself use jpube-identification-strategy.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpube-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.