Small Area Estimation of Education Levels in Low- and Middle-Income Countries

Area of Science:

• Educational Measurement
• Development Economics
• Public Health

Background:

• Educational attainment is crucial for social mobility, but current metrics lack granularity.
• Existing indicators like mean years of schooling (MYS25) and expected years of schooling (EYS) do not capture cohort-specific or temporal trends.
• Disparities in educational attainment are particularly pronounced in low- and middle-income countries (LMICs).

Purpose of the Study:

• To introduce a novel metric, ultimate years of schooling (UYS), to provide a more accurate measure of educational attainment.
• To address limitations of existing indicators by incorporating cohort-specific and temporal data.
• To develop methods for bias-corrected estimation of educational attainment, especially for younger cohorts.

Main Methods:

• Re-framed educational attainment as a time-to-event process using discrete-time survival models.
• Employed survey-weighted logistic regression for national-level estimation.
• Utilized a Bayesian spatiotemporal framework for finer spatial resolutions and smaller sample sizes.

Main Results:

• Successfully estimated female educational trajectories corrected for censoring biases using data from Tanzania.
• Revealed substantial subnational disparities in educational attainment.
• Demonstrated the effectiveness of the proposed bias-correction methods.

Conclusions:

• The ultimate years of schooling (UYS) metric offers a dynamic, bias-corrected, and spatially disaggregated measure of educational attainment.
• This enhanced monitoring tool can improve progress tracking towards education goals.
• The approach provides policymakers and researchers with a precise instrument for targeted interventions in LMICs.