Individual skill
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.
Journal-of-Policy-Analysis-and-Management-Skills/skills/jpam-data-analysis/SKILL.md
Source commit 932eb23331721b16e967c59f093781be1928b498
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,403
- Repository last updated
- Sep 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- agent-skills Repository topic
- journal Repository topic
- academic-research Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- awesome-list Repository topic
- claude Repository topic
- claude-code Repository topic
- economics Repository topic
- design Derived category
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 6,707 bytes
Read excerpt
# 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)