jhr-data-analysis
Use when building or auditing Journal of Human Resources (JHR) empirical pipelines — sample construction, design-based causal estimates with correct clustering, robustness, comparative estimation against prior published work, online appendix material, and reproducible analysis.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jhr-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 (jhr-data-analysis) ## When to trigger - You are preparing the empirical pipeline for a JHR paper - Sample construction, reconciliation, or robustness is still unsettled - The paper needs a replication-ready workflow before acceptance ## Applied-micro analysis checklist - Define unit, population, period, treatment, comparison group, and outcome. - Show sample attrition and merge rules. - Report baseline balance or pre-treatment comparability when relevant. - Estimate main effects with the right clustering and fixed effects. - Add reconciliation estimates against the closest prior published work. - Add robustness for sample windows, functional form, controls, treatment definitions, and outlier handling. ## JHR-specific constraints - Keep main tables inside the page limit; move overflow to Online Appendix. - Prepare a data-archive plan from the start, especially for restricted data. - For RCTs, track pre-analysis plan registration and deviations. ## Comparative-estimate workflow Build one reconciliation table before submission: | Column | Purpose | |---|---| | Prior published estimate | Reproduce or quote the closest estimate with sample/design notes | | Prior specifi
- When to trigger
- Applied-micro analysis checklist
- JHR-specific constraints
- Comparative-estimate workflow
- Estimator defaults JHR referees assume
- Inference choices that draw referee fire
- Linked-data hygiene
- Worked numbers: postpartum-coverage pipeline
- Robustness ledger to maintain
- Execution bridge (StatsPAI / Stata MCP)
- Output format
What does the jhr-data-analysis skill do?
Use when building or auditing Journal of Human Resources (JHR) empirical pipelines — sample construction, design-based causal estimates with correct clustering, robustness, comparative estimation against prior published work, online appendix material, and reproducible analysis.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jhr-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.