skills/43-wentorai-research-plugins/skills/analysis/econometrics/SKILL.md
12 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research econometrics-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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-analyst | Expert panel data regression analysis with fixed effects and GMM | | 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-accounting-guide | STATA code for empirical accounting and financial economics research | | 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 |
tools
Show mcp-stata identity, connected tools, and status. Use when the user asks if mcp-stata is available, asks about access to the toolkit, or asks what Stata tools are connected.
tools
Activate when users mention Stata commands, .do files, regressions, econometrics, stored results, graphs, dataset inspection, replication, or Stata errors. Route the task through mcp-stata tools and the specialized research skills instead of treating it as plain text coding.
development
Build and review paper-ready regression, balance, and summary tables from Stata outputs. Use when the user needs a clean table for a draft, appendix, or coauthor share-out.
tools
Install, configure, update, or verify mcp-stata across Claude Code, Codex, Gemini CLI, Cursor, Windsurf, and VS Code. Activate when users ask to set up the Stata toolkit or troubleshoot the installation.