About econometrics-skills
econometrics-skills is a collection of reference skills for econometrics and social science research. It covers topics including causal inference, Stata, panel data, and time-series methods, with each skill documented in its own SKILL.md.
Key features
- 0110 econometrics skills
- 02Causal inference methods
- 03Stata analysis and reference guides
- 04Panel data models
- 05Time-series methods
Use cases
- 01Choose a causal inference method
- 02Conduct social science analysis in Stata
- 03Analyze panel data
- 04Apply time-series econometrics
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/econometrics-skillsin Claude Code to confirm it loaded.
Details
From the project READMEEconometrics — 10 Skills
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| causal-inference-guide | Causal inference methods including DiD, IV, RDD, and synthetic control |
| econml-causal-guide | Apply EconML for causal inference combining machine learning and econometrics |
| iv-regression-guide | Apply instrumental variables, 2SLS, and address endogeneity issues |
| mostly-harmless-guide | Replication code and guide for Mostly Harmless Econometrics methods |
| panel-data-guide | Panel data analysis with fixed and random effects models |
| python-causality-guide | Learn causal inference with Python using the Brave and True handbook |
| robustness-checks | Sequential robustness checks in Stata with confounder blocks |
| stata-analyst-guide | Stata workflows for publication-ready sociology and social science research |
| stata-reference-guide | Comprehensive Stata reference covering syntax, econometrics, and 20+ packages |
| time-series-guide | Apply ARIMA, VAR, cointegration, and time series econometric methods |
Comments
Markdown supported