Labor force with intermediate education/female working-age population
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels | Not applicable |
| Technical name | socstr_lfpedu2_wpop_f |
| Category | Social structure |
| Label | Labor force with intermediate education/female working-age population |
| Related indicators |
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"Labor force with intermediate education/female working-age population" measures the percentage of a nation's population that is of working age and has completed an intermediate level of schooling. As per the 2011 International Standard Classification of Education, intermediate education encompasses post-secondary non-tertiary education or upper secondary education.
Coding rules
The variable is calculated by dividing the number of female population with intermediate education aged 15+ by the total female population aged 15+. Teorell et al. (2024:1536) define the variable as "The percentage of the working age female population with an intermediate level of education who are in the labor force. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011)."
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/li>
- World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators
- UNESCO (2012). International Standard Classification of Education.'ISCED 2011'. http://uis.unesco.org/en/topic/international-standard-classification-education-isced
- Schäfer, Andrea and Karin Gottschall (2015): From Wage Regulation to Wage Gap. How Wage-Setting Institutions and Structures Shape the Gender Wage Gap Across Three Industries in 24 European Countries and in Germany. In: Cambridge Journal of Economics, 39 (2), p.467 - 496, http://cje.oxfordjournals.org/content/early/2015/02/20/cje.bev005
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
- World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators
