ModernDiD User Guide#
This guide provides an overview of ModernDiD and explains the important features; details are found in API Reference.
Getting started
Examples
- Staggered Difference-in-Differences
- Triple Difference-in-Differences
- DiD with Intertemporal Treatment Effects
- Continuous Difference-in-Differences
- Sensitivity Analysis for Parallel Trends
- Why sensitivity analysis matters
- Loading data
- Computing the event study
- Smoothness restrictions
- Relative magnitudes restrictions
- Analyzing longer-term effects
- Choosing sensitivity parameters
- Incorporating sign restrictions
- Monotonicity restrictions
- Recommendations
- Using external event study estimates
- Next steps
Scaling
- Distributed Estimation
- When to use distributed estimation
- Requirements
- Quick start
- Interfaces
- Current support and limits
- Preparing input data
- From local to distributed
- Connecting to a cluster
- Distributed-specific parameters
- Supported estimation features
- Running multiple specifications
- Monitoring the cluster
- Reproducibility
- Next steps
- GPU Acceleration with CuPy