Abstract
Different skew models such as the lognormal and the Pareto have been
proposed as suitable descriptions of the income distribution, but such specific
distributions are usually applied in empirical investigations. For general studies
more wide-ranging tools have been considered. The central and most commonly
applied theory is connected to the Lorenz curve. Without any assumptions
concerning specific distributions, this theory enables analyses of temporal and
regional variations in the income inequalities. Particularly, it is a valuable tool for
studies of the effect of taxes and transfers to the redistribution of income.
Taxation and transferring may have similar effects, but some marked differences
with respect to their applications can be identified and therefore, both will
usually be given individual presentations.
In this study I have collected the central parts of my contributions to the
theory of income distributions and furthermore, I have tried to locate my results
within the framework of the general literature.
proposed as suitable descriptions of the income distribution, but such specific
distributions are usually applied in empirical investigations. For general studies
more wide-ranging tools have been considered. The central and most commonly
applied theory is connected to the Lorenz curve. Without any assumptions
concerning specific distributions, this theory enables analyses of temporal and
regional variations in the income inequalities. Particularly, it is a valuable tool for
studies of the effect of taxes and transfers to the redistribution of income.
Taxation and transferring may have similar effects, but some marked differences
with respect to their applications can be identified and therefore, both will
usually be given individual presentations.
In this study I have collected the central parts of my contributions to the
theory of income distributions and furthermore, I have tried to locate my results
within the framework of the general literature.
| Original language | English |
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| Place of Publication | New York |
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| Publisher | Science Publishing Group |
| Number of pages | 166 |
| ISBN (Electronic) | 978-1-940366-25-8 |
| Publication status | Published - 2015 |
| MoE publication type | D5 Text book, professional manual or guide or a dictionary |
Keywords
- 112 Statistics and probability