Difference between revisions of "Gini Coefficient (WIID)"
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− | |datatype=Numeric | + | |datatype = Numeric |
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− | + | <ul><li>0 = complete equal distribution of income </li></ul> | |
− | + | <ul><li>1 = complete unequal distribution of income </li></ul> | |
− | |techname=socstr_gini_coef_wiid4 | + | |techname = socstr_gini_coef_wiid4 |
− | |category=Social structure | + | |category = [[Social structure]] |
− | |label=Gini Coefficient (WIID) | + | |label = Gini Coefficient (WIID) |
− | |relatedindicators=<ul><li>[[Gini (at disposable income post taxes & transfers)]]</li></ul><ul><li>[[GINI index (World Bank estimate)]]</li></ul><ul><li>[[Gini Coefficient (LIS)]</li></ul><ul> | + | |relatedindicators = |
− | |description=The Gini Coefficient measures income inequality of a population. Generally, the Gini Coefficient measures a area between a hypothetical line (absolute equal distribution of income) and the Lorenz curve. This indicator is based on the calculations of the World Institute for Development Economics Research (UNI-WIDER). | + | <ul><li>[[Gini (at disposable income post taxes & transfers)]]</li></ul> |
− | |codingrules=The Gini Coeffizient ranges between "0" and "1". "1" refers to a complete unequal distribution of income and "0" to a complete equal distribution of income. | + | <ul><li>[[GINI index (World Bank estimate)]]</li></ul> |
− | |citation=<ul> | + | <ul><li>[[Gini Coefficient (LIS)]]</li></ul><ul> |
+ | |||
+ | |description = | ||
+ | The Gini Coefficient measures income inequality of a population. Generally, the Gini Coefficient measures a area between a hypothetical line (absolute equal distribution of income) and the Lorenz curve. This indicator is based on the calculations of the World Institute for Development Economics Research (UNI-WIDER). | ||
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+ | |codingrules = The Gini Coeffizient ranges between "0" and "1". "1" refers to a complete unequal distribution of income and "0" to a complete equal distribution of income. | ||
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+ | |citation = | ||
+ | <ul> | ||
<li>UNU-WIDER. (2018). World income inequality database (wiid 3.4). Retrieved from https://www.wider.unu.edu/database/world-income-inequality-database-wiid34 | <li>UNU-WIDER. (2018). World income inequality database (wiid 3.4). Retrieved from https://www.wider.unu.edu/database/world-income-inequality-database-wiid34 | ||
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</ul> | </ul> | ||
− | |relatedpublications= | + | |
− | |projectmanagers=Karolin Meyer, Jean-Yves Gerlitz | + | |relatedpublications = |
− | |datarelease= | + | |
− | |revisions= | + | |
− | |sources=<ul> | + | |
− | <li> | + | |projectmanagers = |
+ | <ul> | ||
+ | <li>Karolin Meyer, Jean-Yves Gerlitz</li> | ||
+ | </ul> | ||
+ | |||
+ | |datarelease = | ||
+ | <ul> | ||
+ | <li></li> | ||
+ | </ul> | ||
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+ | |revisions = | ||
+ | <ul> | ||
+ | <li></li> | ||
+ | </ul> | ||
+ | |||
+ | |sources = | ||
+ | <ul> | ||
+ | <li> Deakin, Simon, John Armour, and Mathias Siems. 2017. "CBR Leximetric Datasets [updated] [Dataset]". [https://doi.org/10.17863/CAM.9130 https://doi.org/10.17863/CAM.9130]</li> | ||
</ul> | </ul> | ||
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Revision as of 13:39, 16 September 2020
Quick info | |
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Data type | Numeric |
Scale | Metric |
Value labels |
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Technical name | socstr_gini_coef_wiid4 |
Category | Social structure |
Label | Gini Coefficient (WIID) |
Related indicators |
|
The Gini Coefficient measures income inequality of a population. Generally, the Gini Coefficient measures a area between a hypothetical line (absolute equal distribution of income) and the Lorenz curve. This indicator is based on the calculations of the World Institute for Development Economics Research (UNI-WIDER).
Coding rules
The Gini Coeffizient ranges between "0" and "1". "1" refers to a complete unequal distribution of income and "0" to a complete equal distribution of income.
Bibliographic info
Citation:- UNU-WIDER. (2018). World income inequality database (wiid 3.4). Retrieved from https://www.wider.unu.edu/database/world-income-inequality-database-wiid34
Related publications:
Misc
Project manager(s):- Karolin Meyer, Jean-Yves Gerlitz
Sources
- Deakin, Simon, John Armour, and Mathias Siems. 2017. "CBR Leximetric Datasets [updated] [Dataset]". https://doi.org/10.17863/CAM.9130