The jackknife is a resampling method that uses subsets of the original database by leaving out one observation at a … time from the sample. The paper outlines a procedure to obtain jackknife estimates for several inequality indices with only …

The jackknife is a resampling method that uses subsets of the original database by leaving out one observation at a … time from the sample. The paper outlines a procedure to obtain jackknife estimates for several inequality indices with only …

The jackknife is a resampling method that uses subsets of the original database by leaving out one observation at a …

survey data and benchmarking ratios. We suggest a jackknife method to estimate the variance of our estimator. From our data …

estimate of the bias is asymptotically linear. It is also shown that bootstrap, jackknife, and analytical bias estimates are … jackknife bias corrections. In contrast, bias corrections that do not estimate the bias at the parametric rate, such as the … split-sample jackknife, result in larger higher-order variances in the i.i.d. setting we focus on. For both a cross …