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econometrics-skills

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12 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests.

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Source SKILL.md: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/blob/HEAD/skills/43-wentorai-research-plugins/skills/analysis/econometrics/SKILL.md

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Econometrics — 12 Skills

Select the skill matching the user's need, then read its SKILL.md.

SkillDescription
causal-inference-guideCausal inference methods including DiD, IV, RDD, and synthetic control
econml-causal-guideApply EconML for causal inference combining machine learning and econometrics
iv-regression-guideApply instrumental variables, 2SLS, and address endogeneity issues
mostly-harmless-guideReplication code and guide for Mostly Harmless Econometrics methods
panel-data-analystExpert panel data regression analysis with fixed effects and GMM
panel-data-guidePanel data analysis with fixed and random effects models
python-causality-guideLearn causal inference with Python using the Brave and True handbook
robustness-checksSequential robustness checks in Stata with confounder blocks
stata-accounting-guideSTATA code for empirical accounting and financial economics research
stata-analyst-guideStata workflows for publication-ready sociology and social science research
stata-reference-guideComprehensive Stata reference covering syntax, econometrics, and 20+ packages
time-series-guideApply ARIMA, VAR, cointegration, and time series econometric methods