Before revision:  Third, we study heteroskedasticity-autocorrelation robust inference to showcase how our framework can unify existing conclusions. Several other potential applications are mentioned{\sf    .
After revision:  In addition, we discuss principled, inference-optimal tuning parameter (bandwidth) selection and kernel functions. The main methodological results obtained in this paper are implemented in companion{\sf .