David Kang

Dr. David Kang is an Associate Professor (Senior Lecturer) in the Department of Economics at Lancaster University since 2016. He holds a PhD in Economics from the University of Wisconsin-Madison, an MA in Economics from Seoul National University, and a BS in Mathematics from KAIST. His research focuses on econometric theory and applied econometrics, with expertise in nonparametric methods, model selection, and GMM models.

Education:

• PhD in Economics, University of Wisconsin-Madison (USA)
• MA in Economics, Seoul National University
• BSc in Mathematics, KAIST (South Korea)

Research Interests: Dr. Kang's work emphasizes nonparametric series estimation, tuning parameter selection, and robust econometric inference. His current projects explore misspecification-robust methods and post-model selection techniques in econometric frameworks.

Teaching & Supervision: He teaches Econometrics (ECON330), Data Science in Economics (ECON337), and Microeconometrics (ECON803). He actively supervises PhD students in theoretical and applied econometrics, focusing on microeconometric applications.

Grants & Activities: He led the project "Robust Econometric Inference and Economic Applications" (2019–2022). He frequently participates in international conferences and delivers invited talks at institutions like the University of Cambridge, KAIST, and Seoul National University.

Labs/Teams: Affiliated with the Economics Research Group, Industrial Organisation, and Labour, Education and Health Economics teams at Lancaster University.