jeg-data-analysis
Use when building or auditing Journal of Economic Growth (JEG) empirical estimates, calibrated growth models, transition paths, cross-country and subnational panels, historical datasets, spatial (Conley) inference, robustness, and reproducibility for growth and comparative-development manuscripts.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-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 (jeg-data-analysis) ## When to trigger - You are estimating cross-country, panel, historical, or regional growth models - A theory paper includes calibration, simulation, or transition dynamics - Results need robustness, decomposition, or sensitivity checks for JEG ## Empirical growth checklist - Define the growth outcome: level, growth rate, convergence speed, productivity, human capital, fertility, technology, institutions, or development outcome. - Document the unit and horizon: country-year, region-decade, cohort, household, firm, or historical panel. - Separate long-run levels from short-run growth dynamics. - Show sample construction, merge rules, missingness, and influential observations. - Use specifications that match the question: convergence regressions, panel FE, IV, DID/RDD around reforms, synthetic controls, or structural estimates. ## Theory / calibration checklist - State calibrated parameters, data moments, and source for each moment. - Separate targeted from untargeted moments. - Report transition paths and steady states clearly. - Stress-test key elasticities, discount rates, depreciation, fertility, human capital, and technology parameters. - Mak
- When to trigger
- Empirical growth checklist
- Theory / calibration checklist
- Growth-mechanism audit table
- Spatial and historical inference discipline
- Worked vignette — auditing a comparative-development panel
- Estimator defaults by growth question
- Execution bridge (StatsPAI / Stata MCP)
- Output format
What does the jeg-data-analysis skill do?
Use when building or auditing Journal of Economic Growth (JEG) empirical estimates, calibrated growth models, transition paths, cross-country and subnational panels, historical datasets, spatial (Conley) inference, robustness, and reproducibility for growth and comparative-development manuscripts.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-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.