معرفی
Sook Kim is a Lecturer in Social Statistics at The University of Manchester, specializing in gender inequalities and advanced quantitative methods. Her research focuses on gender pay gaps, labor force dynamics, and methodological innovations in social statistics. She contributes to government-funded projects analyzing administrative data and promoting accessible research workflows in R and Stata.
Her work aligns with UN Sustainable Development Goals, particularly addressing gender equality and quality education. Key research outputs include studies on parenthood’s impact on lifetime income, socio-economic predictors of pay disparities, and theoretical sampling designs for longitudinal cohorts. She emphasizes bridging computational and social science disciplines to empower researchers.
Kim’s methodological contributions include developing R packages for data quality assessment and advancing growth curve models for cohort analyses. Her research bridges statistical rigor with real-world policy implications, aiming to inform equitable labor market practices and enhance data-driven decision-making in official statistics.
