Maximum likelihood vs. minimum sum-of-squares estimation of the autocorrelated error model

A Monte Carlo comparison is made of two iterative methods of estimating the linear regression model with first-order autocorrelated errors. Both methods use T transformed observations: T-1 generalized first differences plus the differentially weighte...