Abstract

We propose a jackknife minimum distance estimator designed to reduce the finite-sample bias of the optimal minimum distance estimator. Monte Carlo results indicate that our jackknife minimum distance estimator is a promising alternative to existing minimum distance procedures. (C) 2002 Elsevier Science B.V. All rights reserved.