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Econometrics Seminar - "Least Trimmed Squares: Nuisance Parameter Free Asymptotics" Vanessa Berenguer-Rico

UEBS Economics Seminar

Economics Seminar - Vanessa Berenguer-Rico (Oxford University)


Event details

Abstract

Abstract: TheLeastTrimmedSquares(LTS)regressionestimatorisknowntobeveryrobustto

thepresenceof“outliers”.Itisbasedonaclearandintuitiveidea:inasampleofsize

n, it searches for the h-subsample of observations with the smallest sum of squared

residuals.Theremainingn−h observationsaredeclared“outliers”.Fastalgorithms

foritscomputationexist.Nevertheless,theexistingasymptotictheoryforLTS,based

onthetraditionalϵ-contaminationmodel,showsthattheasymptoticbehaviorofboth

regression and scale estimators depend on nuisance parameters. Using a recently

proposed new model, in which the LTS estimator is maximum likelihood, we show

that the asymptotic behavior of both the LTS regression and scale estimators are

free of nuisance parameters. Thus, with the new model as a benchmark, standard

inferenceproceduresapplywhileallowingabroadrangeofcontamination.

Location:

Syndicate Room B