World Bank Gender Statistics

Research question: Gender Inequality from Education to Employment: How Are Secondary Education Gaps Associated with Labor-Force Participation Gaps Across Countries?

## SCATTERPLOT

``` r
ggplot(
  gender_2023,
  aes(
    x = education_gap_abs,
    y = labor_gap_abs
  )
) +
  
  geom_point(
    alpha = 0.65
  ) +
  
  geom_smooth(
    method = "lm",
    se = TRUE
  ) +
  
  labs(
    
    title =
      "Gender Disparities in Education and Labor-Force Participation",
    
    subtitle =
      "Cross-country comparison, 2023",
    
    x =
      "Gender Gap in Secondary School Enrollment (percentage points)",
    
    y =
      "Gender Gap in Labor-Force Participation (percentage points)",
    
    caption =
      "Source: World Bank Gender Statistics"
  ) +
  
  theme_minimal()

## `geom_smooth()` using formula = 'y ~ x'

regional labor gap：

ggplot(
  region_summary,
  aes(
    x = reorder(
      region,
      mean_labor_gap
    ),
    y = mean_labor_gap
  )
) +
  
  geom_col() +
  
  coord_flip() +
  
  labs(
    
    title =
      "Average Gender Gap in Labor-Force Participation by Region",
    
    subtitle =
      "World Bank Gender Statistics, 2023",
    
    x = NULL,
    
    y =
      "Mean Absolute Gender Gap (percentage points)",
    
    caption =
      "Source: World Bank Gender Statistics"
  ) +
  
  theme_minimal()

Conclution

This analysis examined whether gender disparities in secondary education are associated with gender disparities in labor-force participation across countries. Using the cleaned 2023 World Bank Gender Statistics data, the results suggest that the relationship between these two dimensions of gender inequality is relatively weak. The Pearson correlation between the absolute gender gap in secondary-school enrollment and the absolute gender gap in labor-force participation is approximately 0.10, indicating only a small positive linear association. In other words, countries with relatively equal secondary-school enrollment between women and men do not necessarily display equally small gender gaps in labor-force participation. This suggests that educational equality and labor-market equality, although related dimensions of social development, may not progress at the same rate or through the same social processes.

These findings should be interpreted as evidence of association rather than causation. Observing that two social conditions vary together does not establish that one necessarily produces the other. The analysis is cross-sectional and observational, and countries differ in many factors that may shape women’s participation in the labor market, including economic structure, cultural expectations, family responsibilities, institutional arrangements, and employment opportunities. Moreover, the data capture patterns observed at a particular point in time rather than the mechanisms through which those patterns developed. Therefore, the results do not support the claim that reducing gender disparities in secondary education would, by itself, cause an equivalent reduction in labor-force participation gaps. Instead, they highlight the importance of treating gender inequality as a multidimensional social phenomenon and of distinguishing statistical regularities from demonstrated causal relationships.