Notes on the Autocorrelation Problem

The following notes illustrate the problem of temporally autocorrelated regression residuals that may arise when using time-series data (and represent the most common violation of the independent-residual assumption in regression modeling). Here the Durbin-Watson statistic is shown to provide diagnostic tool for identifying temporal autocorrelation, and the method of two-stage least squares is shown to be one possible method for removing this effect.