Agent skill · Design & Presentation

jpam-theory-building

Use when building the conceptual frame of a Journal of Policy Analysis and Management (JPAM) manuscript — the theory of change / logic model linking the policy lever to outcomes, the mechanism, and the scope conditions that govern transfer to other settings. Sharpens the argument; it does not run estimation or design identification.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-theory-building --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Journal-of-Policy-Analysis-and-Management-Skills/skills/jpam-theory-building/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Theory of Change & Mechanism (jpam-theory-building) JPAM is empirical, but the best policy papers are not atheoretical. The "theory" here is a **theory of change**: a transparent logic that says *why* the policy lever should move the outcome, *through what mechanism*, *for whom*, and *under what conditions it would (or would not) transfer* to another jurisdiction or scale. This frame is what turns a single estimate into evidence a policymaker elsewhere can use, and it disciplines the cost-benefit and heterogeneity analysis downstream. ## When to trigger - Specifying the logic model / theory of change before or alongside the design - A reviewer asked "what's the mechanism?" or "why would this generalize?" - Deciding which heterogeneity and mediation analyses are theory-driven (not fishing) - Framing scope conditions for external validity and scale-up ## Building the theory of change 1. **Lever → mechanism → outcome.** Write the causal chain explicitly: the policy changes X (incentive, constraint, information, price, access), which operates through mechanism M, producing outcome Y. 2. **Behavioral or institutional micro-foundation.** Say *who* responds and *why* — incentives, liqui

What's inside
Steps it walks through
  1. When to trigger
  2. Building the theory of change
  3. What the theory buys (JPAM-specific)
  4. Checklist
  5. Anti-patterns
  6. Worked micro-example (illustrative)
  7. Calibration anchors (hedged)
  8. Output format
  9. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the jpam-theory-building skill do?

Use when building the conceptual frame of a Journal of Policy Analysis and Management (JPAM) manuscript — the theory of change / logic model linking the policy lever to outcomes, the mechanism, and the scope conditions that govern transfer to other settings. Sharpens the argument; it does not run estimation or design identification.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-theory-building --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.

Keep going