Emma Zang’s research interests lie at the intersection of health and aging, marriage and family, and inequality. Her work aims to improve the understanding of 1) how early-life conditions affect later-life health outcomes; 2) the cohort patterns of fertility and mortality; 3) the impact of public policies on household members’ health outcomes; 4) social stratification and health.
Emma Zang is also a quantitative methodologist. She is particularly interested in developing and evaluating methods to model trajectories and life transitions in order to better understand how demographic and socioeconomic inequalities shape the health and well-being of individuals from life course perspectives. Her ongoing work explores 1) Bayesian approaches to modeling group-based trajectories, incorporating Bayesian Model Averaging techniques; 2) Bayesian approaches to making multi-state life tables using high-dimensional survey data; 3) evaluations of Age-Period-Cohort (APC) models.
Her work has appeared in the American Journal of Sociology, Demography, Social Science & Medicine, Sociological Science, Social Indicators Research, and International Journal of Epidemiology.