Difference between revisions of "Atkinson Coefficient (epsilon=0.5)"
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|label=Atkinson Coefficient (epsilon=0.5) | |label=Atkinson Coefficient (epsilon=0.5) | ||
|relatedindicators=<ul><li>[[Atkinson Coefficient (epsilon=1)]]</li></ul> | |relatedindicators=<ul><li>[[Atkinson Coefficient (epsilon=1)]]</li></ul> | ||
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|description=The Atkinson Coefficient is measuring income inequality around the world. This Coefficient not only shows the ratio itself but takes different parameters like society's aversion of income inequality into account. | |description=The Atkinson Coefficient is measuring income inequality around the world. This Coefficient not only shows the ratio itself but takes different parameters like society's aversion of income inequality into account. | ||
|codingrules=The epsilon is measuring the aversion of the society towards income inequality. The greater the epsilon the more tends the Coefficient towards 1. | |codingrules=The epsilon is measuring the aversion of the society towards income inequality. The greater the epsilon the more tends the Coefficient towards 1. |
Revision as of 13:45, 15 September 2020
Quick info | |
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Data type | Numeric |
Scale | Metric |
Value labels |
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Technical name | socstr_atkincoef_eps05 |
Category | Social structure |
Label | Atkinson Coefficient (epsilon=0.5) |
Related indicators |
The Atkinson Coefficient is measuring income inequality around the world. This Coefficient not only shows the ratio itself but takes different parameters like society's aversion of income inequality into account.
Coding rules
The epsilon is measuring the aversion of the society towards income inequality. The greater the epsilon the more tends the Coefficient towards 1.
Bibliographic info
Citation:- LIS Cross-National Data Center in Luxembourg. (2019). Luxembourg income study database and the luxembourg wealth study database. Retrieved from http://www.lisdatacenter.org/ data-access/key-figures/download-key-figures/
Related publications:
Misc
Project manager(s): Karolin Meyer, Jean-Yves Gerlitz
Data release:
Revisions:
Sources
- Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19