model checking. A residual-based bootstrap method is provided and demonstrated as an effective way to approximate the …

bootstrap, in the case of inequality indices. To estimate the parameters of the assumed parametric data generating distribution … inequality index. Its primary advantage is that the scale parameter does not need to be estimated to perform parametric bootstrap … suggest that this feature provides an advantage over the parametric bootstrap using the maximum likelihood estimator. We also …

bootstrap methods. Specifically, since standard wild bootstrap procedures deliver inconsistent inference, we propose a local … Gaussian (LG) bootstrap, establish its first‐order asymptotic validity, and use Edgeworth expansions to show that the LG … bootstrap inference achieves second‐order asymptotic refinements. Moreover, we provide new Laplace transform‐based estimators of …