jpam-data-analysis
Use when running and reporting the estimation for a Journal of Policy Analysis and Management (JPAM) manuscript — program-evaluation estimates plus the cost-benefit and distributional analysis JPAM expects, with robustness, heterogeneity, and honest uncertainty. Guides analysis norms; it does not replace the identification design.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-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: Estimation, Cost-Benefit & Distribution (jpam-data-analysis) JPAM analysis has two layers most field-journal papers skip: beyond the **causal estimate**, reviewers expect attention to **cost-benefit** and **distributional** consequences — *who gains, who pays, and is it worth it?* The estimate answers "does the policy work"; the cost-benefit and distributional work answers "should we do it, and for whom." Both must be reported honestly, with uncertainty carried through. ## When to trigger - Producing the main estimates and the robustness/heterogeneity suite - Adding (or being asked to add) cost-benefit or distributional analysis - A reviewer questioned standard errors, robustness, or the policy-relevance of the magnitude - Translating an effect size into a decision-relevant quantity (per-dollar, per-recipient, MVPF) ## Estimation norms - **Report effects in policy-relevant units** — percentage points, dollars, per-recipient, per-dollar- spent — not just standardized coefficients. - **Robustness as a coherent suite**, not a coefficient dump: alternative specifications, samples, bandwidths/estimators, and a placebo where the design allows. Show the result is not knif
- When to trigger
- Estimation norms
- Cost-benefit & distributional analysis (JPAM premium)
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Calibration anchors (hedged)
- Worked micro-example (illustrative)
- Output format
- Supplementary resources
What does the jpam-data-analysis skill do?
Use when running and reporting the estimation for a Journal of Policy Analysis and Management (JPAM) manuscript — program-evaluation estimates plus the cost-benefit and distributional analysis JPAM expects, with robustness, heterogeneity, and honest uncertainty. Guides analysis norms; it does not replace the identification design.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-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.