On the robustness of two alternatives to least squares: A Monte Carlo study

This note provides Monte Carlo evidence on the finite sample behavior of two alternatives to least squares—the least absolute deviations estimator and a partially adaptive estimator—when the regression errors are conditionally heteroscedastic.