Summary Lag windows are commonly used in time series analysis, econometrics, steady-state simulation and Markov chain Monte Carlo to estimate time-average covariance matrices. In the presence of positive correlation underlying process, estimators this matrix almost always exhibit significant negative bias, leading undesirable finite-sample properties. We propose a new family lag specifically de...