Gini (at disposable income post taxes & transfers)
Quick info | |
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Data type | Numeric |
Scale | Metric |
Value labels | Not applicable |
Technical name | socstr_gini_disinc_oecd |
Category | Social structure |
Label | Gini (at disposable income post taxes & transfers) |
Related indicators |
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The most often used indicator of inequality is the Gini coefficient. This variable measures income inequality at the level of disposable income after taxes and transfers. It uses a 0–1 scale to assess inequality, with higher numbers denoting greater disparity. Perfect equality, in which everyone gets the same income, is represented by a value of 0. Perfect inequality is represented with a value of 1, meaning that one person keeps all of the money while everyone else gets nothing.
Coding rules
The Gini Coeffizient ranges between "0" and "1". "1" refers to a complete unequal distribution of disposable income after taxes and transfers and "0" to a complete equal distribution of disposable income after taxes and transfers. Teorell et al. (2024:351) define the variable as "Income inequality: Gini (at disposable income, post taxes and transfers), 0-1 scale".
Bibliographic info
Citation:- Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24
- Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288
- Cowell, Frank (2011). Measuring Inequality, Oxford University Press, https://doi.org/10.1093/ACPROF:OSOBL/9780199594030.001.0001.
- Hasell, Joe (2023). Measuring inequality: what is the Gini coefficient? Published online at OurWorldinData.org. Retrieved from: 'https://ourworldindata.org/what-is-the-gini-coefficient' [Online Resource].
- Kohli, Martin, Künemund, Harald, Schäfer, Andrea, Schupp, Jürgen and Vogel, Claudia (2006). Erbschaften und ihr Einfluss auf die Vermögensverteilung, in: Vierteljahrshefte zur Wirtschaftsforschung, 75 (1) p.58-76. https://doi.org/10.3790/vjh.75.1.58
Misc
Project manager(s): Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
Data release:- Version 0.001: Initial release with data The Quality of Government Standard Dataset, version Jan19
- Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024
Revisions: No revisions yet
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
- Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset
- Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288