Individual skill
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.
Journal-of-Public-Economics-Skills/skills/jpube-data-analysis/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Sep 27, 2026
- License
- MIT
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# 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