The residual-based bootstrap is considered one of the most reliable methods for bootstrapping generalized autoregressive conditional heteroscedasticity (GARCH) models. However, in terms of theoretical ...

We derive an inference method that works in differences-indifferences settings with few treated and many control groups in the presence of heteroskedasticity. As a leading example, we provide ...