jppm-data-analysis
Use when estimating and stress-testing results for a Journal of Public Policy & Marketing (JPP&M) manuscript — treatment effects from experiments, DiD/RDD/synthetic-control policy evaluations, subgroup analyses for vulnerable populations, and policy-interpretable reporting. Runs the analysis; it does not choose the design (jppm-methods).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-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 (jppm-data-analysis) ## When to trigger - A DiD around a policy rollout needs modern estimators and a pre-trend defense - An RDD's bandwidth, density, or placebo checks are unbuilt - Experimental effects are significant but not yet expressed in units a regulator can use - Subgroup results for vulnerable populations look like fishing rather than a plan - A reviewer will ask "how big is this in the market, and for whom?" and you cannot answer ## Estimate for the decision, not the asterisk At JPP&M the estimate feeds a **policy judgment**, so the analysis has two jobs the sibling journals weigh less: (1) make the causal claim survive an econometrics-literate reviewer, and (2) express magnitudes in **decision units** — percentage points of prevalence, dollars per household, calories per purchase, share of consumers misled — with uncertainty attached. A p-value cannot tell an agency whether a warning is worth mandating; an effect of "−2.1 percentage points in purchase incidence, 95% CI [−3.4, −0.8], concentrated among households below median income" can. Every headline estimate should be convertible into the language of a regulatory impact analysis. ## The evaluation bat
- When to trigger
- Estimate for the decision, not the asterisk
- The evaluation battery
- Heterogeneity as welfare analysis
- Translating estimates into policy terms
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the jppm-data-analysis skill do?
Use when estimating and stress-testing results for a Journal of Public Policy & Marketing (JPP&M) manuscript — treatment effects from experiments, DiD/RDD/synthetic-control policy evaluations, subgroup analyses for vulnerable populations, and policy-interpretable reporting. Runs the analysis; it does not choose the design (jppm-methods).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-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.