r-econometrics

What problem does it solve?

This Skill reduces the friction of running credible econometric causal-inference analyses in R by producing well-specified models with appropriate diagnostics and publication-ready outputs.

Core Features & Use Cases

• Causal design support: Builds R workflows for IV, DiD, and RDD based on the identification strategy.
• Modern fixed-effects estimation: Uses fixest (feols) to support panel models with flexible fixed effects.
• Diagnostics and reporting: Encourages first-stage/weak instrument checks for IV, parallel-trends/event-study visuals for DiD, and RDD bandwidth/density considerations.
• Publication-ready tables: Exports regression results via modelsummary or etable-style workflows.

Quick Start

Ask for a DiD analysis that estimates treatment effects using state and year fixed effects with standard errors clustered at the state level and returns an event-study plot plus an exportable regression table.