wow-inequalities/data/extracted/Suh2017.yml

45 lines
2.1 KiB
YAML

cite: Suh2017
author: Suh, M.-G.
year: 2017
title: "Determinants of female labor force participation in south korea: Tracing out the U-shaped curve by economic growth"
publisher: Social Indicators Research
uri: https://doi.org/10.1007/s11205-016-1245-1
pubtype: article
discipline: sociology
country: Korea, Rep.
period: 1980-2014
maxlength:
targeting: implicit
group: married women
data: Statistical Database in Statistical Information Service Korea 2015
design: quasi-experimental
method: OLS regression; log-linear analysis; contingency analysis with cross-tab statistics; Gini coeff as income inequality indicator
sample: 35
unit: case
representativeness: national, census
causal: 0 # 0 correlation / 1 causal
theory:
limitations:
observation:
- intervention: education
institutional: 0
structural: 1
agency: 0
inequality: income; generational; gender
type: 1 # 0 vertical / 1 horizontal
indicator: 1 # 0 absolute / 1 relative
measures: employment
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
channels: education being necessary not sufficient condition, also influenced by family size and structure
direction: 1 # -1 neg / 0 none / 1 pos
significance: 2 # 0 nsg / 1 msg / 2 sg
notes:
annotation: |
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.
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.
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.
Finally, education also has an intergenerational impact, with the female education also positively relating to daughters' education levels.