Before revision: Time series regression analysis in econometrics typically involves a framework relying on a set of mixing conditions to establish consistency and asymptotic normality of parameter estimates and HAC-type estimators of the residual long-run variances to conduct proper inference.
After revision: Time series regression analysis relies on the heteroskedasticity- and autocorrelation-consistent (HAC) estimation of the asymptotic variance to conduct proper inference.