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Sanghyun Jung
Sanghyun is a first-year Ph.D. student at Western University. Before his Ph.D., Sanghyun completed an MSc in Statistics at Western University. Prior to this, he completed a MA in Economics and BA degree in Economics at Sogang University. During this period, he conducted research on econometric theory.
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His research interests include machine/deep learning, causal inference, explainable AI, and their application to economic and financial data.
Areas of Interest
Data science; machine/deep learning; causal inference; explainable AI.
Publications
Choi, I. & Jung, S. (2021). Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels. Empirical Economics 60(1): 177-203.
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