Testing for Heterogeneity with Categorical Data: Permutation Solution vs. Bootstrap Method |
| |
Authors: | Stefano Bonnini |
| |
Institution: | 1. Department of Economics &2. Management , University of Ferrara , Ferrara , Italy bnnsfn@unife.it |
| |
Abstract: | In this article the problem of comparing distributional heterogeneities for categorical variables is addressed. Specifically, the one-sided testing problem for heterogeneity comparisons is considered. For such a problem a bootstrap method is proposed and compared with a permutation method already present in literature. The power behavior of the two methods is compared through a Monte Carlo simulation study. The results of two real applications are shown. |
| |
Keywords: | Bootstrap Categorical variables Heterogeneity Permutation test |
|
|