Individual skill
jape-data-analysis
Use when running estimation and inference for a Journal of Applied Econometrics (JAE) manuscript so the analysis is reproducible and archive-ready — every table/figure regeneratable from plain-text data and programs you will deposit in the JAE Data Archive. Covers robust inference, master-script discipline, Monte Carlo evidence, and the archive's plain-ASCII/CSV format rule.
Journal-of-Applied-Econometrics-Skills/skills/jape-data-analysis/SKILL.md
Source commit 932eb23331721b16e967c59f093781be1928b498
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,404
- Repository last updated
- Sep 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- agent-skills Repository topic
- journal Repository topic
- academic-research Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- awesome-list Repository topic
- claude Repository topic
- claude-code Repository topic
- economics Repository topic
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 6,990 bytes
Read excerpt
# Data Analysis for JAE (jape-data-analysis)
## When to trigger
- Setting up the estimation pipeline for a JAE paper
- Choosing inference (HAC, clustered, bootstrap) for real-data estimates
- Making sure the analysis will satisfy the JAE Data Archive before you submit
## Analyze for reproducibility from day one
JAE's identity is **replicable** applied work, and accepted papers must deposit data and (typically) programs in the **JAE Data Archive**. Structure the analysis as if a referee will rerun it:
- One **master script** (`run_all.do` / `make` / `Snakefile`) regenerates **every** exhibit from raw inputs — no manual steps.
- Pin software (`version` in Stata, `renv`/`sessionInfo()` in R, pinned `requirements.txt` in Python); fix and log all seeds.