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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