Overview | Model setup | Outlier detection algorithms | Initial estimator | Reference distribution | Cut-off or probability of outliers | Iteration | Example without outliers | Data generating process (DGP) | Outlier detection | Robustified 2SLS | Saturated 2SLS | Inference under Null hypothesis of no outliers | Testing for difference in coefficient estimates | Example with outliers | Data

Introduction | Step 1: True model | Step 2: Outlier detection algorithm | Step 3: Parameter settings | Step 4: Backend for execution | Parallel loop | Sequential loop

Introduction | Artificial Data | Outlier Detection | Proportion Test | Count Test | Scaling Sum Test | Scaling Supremum Test