Abstract
Second-order properties of estimators and tests offer a way of choosinf among aymptotically equivalent procedures. This paper studies the second-order terms of two estimators of serial correlation in the linear model. Using these second-order approximations, the maximum likelihood estimator is judge to be superior in terms of bias and variance. A small Monte Carlo experiment is done to assess the accuracy of the results.
Original language | English (US) |
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Pages (from-to) | 299-311 |
Number of pages | 13 |
Journal | Journal of Econometrics |
Volume | 27 |
Issue number | 3 |
DOIs | |
State | Published - Mar 1985 |
All Science Journal Classification (ASJC) codes
- Economics and Econometrics