Jackknife minimum distance estimation

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.