feat(data): Extract Suh2017
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02-data/processed/relevant/Suh2017.yml
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02-data/processed/relevant/Suh2017.yml
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author: Suh, M.-G.
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year: 2017
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title: "Determinants of female labor force participation in south korea: Tracing out the U-shaped curve by economic growth"
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publisher: Social Indicators Research
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uri: https://doi.org/10.1007/s11205-016-1245-1
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pubtype: article
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discipline: sociology
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country: Korea, Rep.
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period: 1980-2014
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maxlength:
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targeting: implicit
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group: married women
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data: Statistical Database in Statistical Information Service Korea 2015
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design: quasi-experimental
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method: OLS regression; log-linear analysis; contingency analysis with cross-tab statistics; Gini coeff as income inequality indicator
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sample: 35
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unit: case
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representativeness: national
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causal: 0 # 0 correlation / 1 causal
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theory:
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limitations:
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observation:
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- intervention: education
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institutional: 0
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structural: 1
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agency: 0
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inequality: income; generational
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type: 1 # 0 vertical / 1 horizontal
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indicator: 1 # 0 absolute / 1 relative
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measures: employment
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findings: education significant increase in married women's employment; female labour force participation negative correlation with income inequality; female education also positively affects daughters' education level
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channels: education being necessary not sufficient condition, also influenced by family size and structure
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direction: 1 # -1 neg / 0 none / 1 pos
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significance: 2 # 0 nsg / 1 msg / 2 sg
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notes:
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annotation: |
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A study on the effects of structural changes on married women's employment in South Korea, looking specifically at the impact of education and family structure.
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It finds that educational interventions significantly increase the employment probability of married women, and it finds overall female labour force participation showing a negative correlation with income inequality.
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However, education alone is only a necessary not a sufficient condition for increased employment, with a married woman's family size and family structure having an impact as well.
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Finally, education also has an intergenerational impact, with the female education also positively relating to daughters' education levels.
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