Hill, Richard W.

A Monte Carlo Study of Two Robust Alternatives of Least Square Regression Estimation / Richard W. Hill, Paul W. Holland. - Cambridge, Mass. National Bureau of Economic Research 1974. - 1 online resource: illustrations (black and white); - NBER working paper series no. w0058 . - Working Paper Series (National Bureau of Economic Research) no. w0058. .

September 1974.

We give some Monte Carlo results on the performance of two robust alternatives to least squares regression estimation - least absolute residuals and the one-step "sine" estimator. We show how to scale the residuals for the sine estimator to achieve constant efficiency at the Gaussian across various choices of X-matrix and give some results for the contaminated Gaussian distribution.




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