Dr. Hanol Lee is an Associate Professor at Southwestern University of Finance and Economics, China. He received his Ph. D. degree in Economics from Korea University, Republic of Korea. His research interests are machine learning, extreme weather events, human capital, education, growth and development, and applied econometrics. He has been published several papers on topics relating to education and human capital in international academic journals such as Journal of Development Economics, Cities, and Feminist Economics. He has taught at Southwestern University of Finance and Economics and Korea University and served as a consultant and researcher to the Asian Development Bank, Korea Development Institute and Asiatic Research Institute.
Current Position: Associate Professor (tenured since May 2022), Research Institute of Economics and Management, Southwestern University of Finance and Economics
Email: firstname.lastname@example.org; email@example.com
Ph.D. in Economics, Korea University, 2017.
M.A. in Economics, Korea University, 2012.
B.S. in Industrial Engineering and B.A. in Economics, Korea University, 2010.
Machine learning, extreme weather events, human capital, education, growth and development, applied econometrics.
Selected Publications (Google Scholar, Web of Science Profile, Scopus Profile)
Human Capital in the Long Run (with Jong-Wha Lee), Journal of Development Economics, 122, 2016.
Human Capital and Income Inequality (with Jong-Wha Lee), Journal of the Asia Pacific Economy, 23(4), 2018.
What Drives the Performance of Chinese Urban and Rural Secondary Schools: A Machine Learning Approach using PISA 2018, Cities, 123, 2022.
Peer Discrimination Toward Rural Migrant Students and Academic Performance in Urban China: A Machine Learning Approach (with Eunbi Song), Cities, 131, 2022.
Selected Working Papers
Educational Quality and Income Disparities Between and Within Countries (with Jong-Wha Lee), revise and resubmit at Journal of Economic Growth, 2022.
The Halo Effect of Elite High School on College Admission: A Machine Learning Approach (Sungjae Oh), submitted, 2023.
Washed Away: The Impacts of Extreme Rainfall on Child Marriage in Bangladesh (with Dainn Wie and Eunbi Song), 2022.
Why East Asian students perform better in mathematics than their peers: An investigation using a machine learning approach (with Jong-Wha Lee), 2022.
Data Sets on Long-Run Enrollment Ratios and Educational Attainment
Postgraduate: Economic Research and Practice (Machine Learning)
Undergraduate: Introduction to Machine Learning, Applied Econometrics, Econometrics, Microeconomics, Macroeconomics.
Undergraduate and Graduate Thesis Advising