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.

41 stars 6 forksTesting & QA

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add xiaomihu1992/econometrics-skill --skill econometrics
Manual install
git clone --depth 1 https://github.com/xiaomihu1992/econometrics-skill.git /tmp/econometrics-skill
mkdir -p ~/.claude/skills
cp -r /tmp/econometrics-skill/. ~/.claude/skills/econometrics

Personal 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.
Read the full skill on GitHub

Details

Skill name
econometrics
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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