Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11023316 | Physica A: Statistical Mechanics and its Applications | 2019 | 13 Pages |
Abstract
In this paper, instead of likelihood based methods that are fragile under model uncertainty, we use entropy based methods on time-ordered household income data to recover income distribution information on European countries and obtain an inequality income measure. For information recovery, we use a family of information theoretic entropy divergence measures to obtain income probability density functions and the corresponding inequality measures, which reflect how European country based economic behavioral systems are performing, and in terms of dynamics have changed over time.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Sofia B. Villas-Boas, Qiuzi Fu, George Judge,