econometrics-skills

# Econometrics — 10 Skills Select the skill matching the user's need, then `read` its SKILL.md. | Skill | Description | |-------|-------------| | [causal-inference-guide](./causal-inference-guide/SKILL.md) | Causal inference methods including DiD, IV, RDD, and synthetic control | | [econml-causal-guide](./econml-causal-guide/SKILL.md) | Apply EconML for causal inference combining machine learning and econometrics | | [iv-regression-guide](./iv-regression-guide/SKILL.md) | Apply instrumental variables, 2SLS, and address endogeneity issues | | [mostly-harmless-guide](./mostly-harmless-guide/SKILL.md) | Replication code and guide for Mostly Harmless Econometrics methods | | [panel-data-guide](./panel-data-guide/SKILL.md) | Panel data analysis with fixed and random effects models | | [python-causality-guide](./python-causality-guide/SKILL.md) | Learn causal inference with Python using the Brave and True handbook | | [robustness-checks](./robustness-checks/SKILL.md) | Sequential robustness checks in Stata with confounder blocks | | [stata-analyst-guide](./stata-analyst-guide/SKILL.md) | Stata workflows for publication-ready sociology and social science research | | [stata-reference-guide](./stata-reference-guide/SKILL.md) | Comprehensive Stata reference covering syntax, econometrics, and 20+ packages | | [time-series-guide](./time-series-guide/SKILL.md) | Apply ARIMA, VAR, cointegration, and time series econometric methods |