did-analysis
CommunityEnd-to-end Difference-in-Differences analysis guide.
Data & Analytics#econometrics#causal-inference#event-study#panel-data#did#difference-in-differences#staggered-adoption
Authorsheehe
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyzes causal effects in panel data using Difference-in-Differences (DID) design, providing a structured workflow and interpretation to distinguish treatment effects from time trends.
Core Features & Use Cases
- DID design validation: verify parallel trends, treatment timing, and eligibility.
- Modeling options: 2×2 DID, TWFE with entity/time fixed effects, and robust alternatives for staggered adoption.
- Event-study diagnostics: estimate dynamic effects and visualize pre/post trends.
- Robustness & reporting: placebo tests, alternative controls, and interpretability guidelines for policy evaluation.
- Guidance for heterogeneity: subgroup analyses and robust standard errors.
Quick Start
Provide a ready-to-use DID analysis workflow for your panel dataset with treatment and control groups.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: did-analysis Download link: https://github.com/sheehe/coase/archive/main.zip#did-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.