red-data-analysis
Use when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and numerical-solution discipline for dynamic models, plus reproducible-computation hygiene that the RED code-first culture expects. Lighter on raw empirics for purely theoretical papers; focused on numerical examples and reproducible computation there.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-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.
# Quantitative Analysis for RED (red-data-analysis) ## When to trigger - Calibrating or estimating a dynamic model and reporting model-vs-data fit - Building the numerical experiments that carry a computational paper - Making the computation reproducible ahead of the RED data/code archive ## What RED-quality analysis looks like RED is method-defined, so "data analysis" usually means **disciplining a dynamic model**, and for **purely theoretical** papers it is lighter — focus there on **numerical examples and reproducible computation** that illustrate the result rather than estimate it. - **Calibration** — list every parameter, its value, its source/target, and whether it is calibrated, estimated, or assumed. Calibration targets should be explicit moments, not vibes. - **Moment-matching / estimation** — report the targeted moments, the fit (model vs data), and untargeted moments the model also matches (a strong credibility signal). Document the estimator and its assumptions. - **Numerical solution discipline** — state the solution method (perturbation, projection, global, EGM, sequence-space), the grid/approximation order, and an **accuracy check** (e.g., Euler-equation errors). - *
- When to trigger
- What RED-quality analysis looks like
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- RED analysis table skeleton
- Illustrative calibration record (Aiyagari-style economy)
- Moment-fit objections and the RED-grade response
- Minimum reproducible run
- Output format
- Supplementary resources
What does the red-data-analysis skill do?
Use when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and numerical-solution discipline for dynamic models, plus reproducible-computation hygiene that the RED code-first culture expects. Lighter on raw empirics for purely theoretical papers; focused on numerical examples and reproducible computation there.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-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.