Jieun  Lee

Curriculum Vitae (CV)

Biography

Jieun Lee earned her Ph.D. in economics at the University of Illinois Urbana-Champaign and is currently a postdoctoral fellow with expertise in quantitative skills of machine learning and spatial econometrics. She studies how chronic disease profiles, such as diabetes, differ across social determinants of health (SDOH) subgroups. Moreover, she studies how endogenous spillover effects formed by geographic proximity as well as SDOH distance affect one’s health outcomes. She also develops predictive models for chronic diseases, addressing the interrelation between one’s physiology risk and SDOH.

Education

University of Illinois Urbana-Champaign (UIUC), USA
      Doctor of Philosophy (PhD) in Economics, 2023
         Dissertation: Essays on Spatial, Health, and Socioeconomic Interactions
      Master of Science (MS) in Mathematics, 2022
      Master of Science (MS) in Statistics-Applied, 2021

Ewha Womans University, South Korea
      Master of Arts (MA) in Economics, 2016
      Bachelor of Arts (BA) in Economics, 2013

Research Interest

Chronic diseases (particularly diabetes), Health Economics/Econometrics, Spatial Econometrics, Machine Learning

Selected Working Papers

1. Clustering the US population into Social Determinants of Health (SDOH) subgroups: A machine-learning approach (with Q.Xue, P.Li, M.Weber, Y.Xi, G.Garcia, M.Ali, & H.Shao)
2. Testing Endogeneity of a Spatial Weight Matrix in a Weak Spatial Dynamic Panel Data Model (Revise & Resubmit in Econometric Reviews)