brycewang-stanford/econometrics-skills

Econometrics — 12 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-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 |