Econometrics
Causal inference and applied econometric analysis on tabular data, from uploaded-data diagnostics and cleaning advice to treatment-effect estimation and publication-grade applied research design. Use for policy impact, ATE/ATT/LATE/ITT, OLS, propensity scores, IV/2SLS, DID/event studies, RDD, robustness checks, falsification tests, identification memos, 因果推断, 政策评估, 数据清洗建议, 稳健性检验, and 异质性分析.
Install
npx skills add xiaomihu1992/econometrics-skill --skill econometricsgit clone --depth 1 https://github.com/xiaomihu1992/econometrics-skill.git /tmp/econometrics-skill
mkdir -p ~/.claude/skills
cp -r /tmp/econometrics-skill/. ~/.claude/skills/econometricsPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Econometrics Skill This skill gives AI coding agents such as Codex, Claude Code, and OpenClaw a curated library of **17 causal-inference estimators** (in `lib/econometric_algorithm.py`) plus the judgment to pick the right one for the user's identification strategy. For advanced research projects, referee-response, or publication-grade work, it also provides a structured applied-econometrics workflow. ## What this skill is for Causal inference on tabular data — answering **"what is the effect of treatment T on outcome Y, holding confounders fixed?"** using methods that are defensible in applied economics / social science work. This is **not** for pure prediction, forecasting, time-series ARIMA, or ML model training. If the user wants prediction accuracy rather than an unbiased causal estimate, redirect — don't force these tools. ## Runtime requirements Use Python 3.10+ with `numpy`, `pandas`, `matplotlib`, `statsmodels`, `linearmodels`, `scipy`, `openpyxl` for `.xlsx/.xlsm` Excel files, and `xlrd` for legacy `.xls` Excel files. ## Depth modes - **Quick mode**: Use the core workflow below when the user needs a defensible first-pass estimate, exploratory causal analysis, or method selection. - **Advanced applied mode**: Use `references/advanced_applied_workflow.md` when the user asks for publication-grade analysis, referee-grade robustness, identification critique, heterogeneity, falsification tests, or a research design memo.
Details
- Skill name
econometrics- Repository
- xiaomihu1992/econometrics-skill
- License
- MIT
- Repo updated
- 17 April 2026
FAQ
What does the Econometrics skill do?
Causal inference and applied econometric analysis on tabular data, from uploaded-data diagnostics and cleaning advice to treatment-effect estimation and publication-grade applied research design. Use for policy impact, ATE/ATT/LATE/ITT, OLS, propensity scores, IV/2SLS, DID/event studies, RDD, robustness checks, falsification tests, identification memos, 因果推断, 政策评估, 数据清洗建议, 稳健性检验, and 异质性分析.
How do I install the Econometrics skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add xiaomihu1992/econometrics-skill --skill econometrics. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Econometrics popular?
It lives in xiaomihu1992/econometrics-skill, which has 41 GitHub stars and 6 forks.
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