bootstrap tests, is likely to be most useful when simulation is expensive. …

bootstrap tests, is likely to be most useful when simulation is expensive. …

conduct asymptotic inference, it is therefore necessary to resort to simulation. Techniques that have commonly been used yield … Kiefer, Vogelsang, and Bunzel (2000) for testing linear restrictions in linear regression models. A program to compute P …

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster … example. We also discuss a new Stata software package called logitjack which implements these procedures. Simulation results …

Despite much recent work on the finite-sample properties of estimators and tests for linear regression models with a … these circumstances. We study asymptotic tests for overidentification in models estimated by instrumental variables and by … correlation between the disturbances of the two equations of the model. Simulation experiments demonstrate that this makes it …

We study asymptotic inference based on cluster-robust variance estimators for regression models with clustered errors … be generated under sequences of local alternatives. Simulation experiments illustrate the theoretical results and show …

We study a cluster-robust variance estimator (CRVE) for regression models with clustering in two dimensions that was …

group level. This is true for both pure treatment models and difference-in-differences regressions. Even when the number of …