Sensitivity Analysis with tvbounds
1. The framework in a nutshell | 2. Randomized experiments with attrition | 2.1 A small simulated experiment | 2.2 Total variation bounds | 2.3 The endpoints: baseline at $\delta = 0$, Lee bounds at $\delta = 1$ | 2.4 The contamination neighborhood | 2.5 Cluster bootstrap | 2.6 Covariates and pooled bounds | 2.7 Summary measures | 3. Recentered instrumental variables | 3.1 A small formula-instrument design | 3.2 Bounds under both neighborhoods | 3.3 The first-stage breakdown budget and its censoring convention | 4. Counterfactual predictions in structural models | 4.1 Requirements and the first-use check | 4.2 The moments function: the Julia route | 4.3 Running the solver | 4.4 The moments function: the R route | 4.5 Tuning with tvbounds_control() | 5. From the paper to the package | Citation | References