Working paper 03/082 - Abstract

What you always wanted to know about censoring but never dared to ask (PDF, file 200 KB) (PDF, 200kB)

Wendelin Schnedler

This article considers a wide class of censoring problems and presents a construction rule for an objective function. This objective function generalises the orginary likelihood as well as particular "likelihoods" used for estimation in several censoring models. Under regularity conditions the maximiser of this generalised likelihood has all the properties of a maximum likelihood estimator: it is consistent and the respective root-n estimator is asymptotically efficient and normally distributed.

Published. in Econometric Reviews (2005), 24(2) pp. 152-217.

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