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econometrics-skills

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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econometrics-skills

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Use econometrics-skills to analyze [supplied panel research data] for a [specific research question or specification], providing justified econometric methods, diagnostics, assumptions, and uncertainty reports.

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[supplied panel research data]
[specific research question or specification]

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SKILL.md

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

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