## HAC robust standard errors.

While we’re using the time series datasets, often we’re highly likely to find serial correlation and heteroskedasticity in our data. These cases increase the chances to obtain serially correlated errors with non-constant variance. If we’re purely interested in statistical inferences, we should go for the HAC robust standard errors under the Time Series context. This …