Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function
We examine the performance of asymptotic inference as well as bootstrap tests for the Alphabeta and Kobus−Miłoś family of inequality indices for ordered response data. We use Monte Carlo experiments to compare the empirical size and statistical power of asymptotic inference and the Student...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
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| Series: | Econometrics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2225-1146/8/1/8 |