Justin Dang

Justin Dang serves as an Assistant Professor of Economics at the Knauss School of Business within the University of San Diego. His academic focus bridges econometric theory and machine learning applications.

• PhD, University of California - Riverside, Economics
• MA, University of Southern California, Economics
• BA, University of California - Irvine, Quantitative Economics

His research explores nonparametric and semiparametric modeling, emphasizing machine learning-based estimators for economic analysis. Key contributions include deriving theoretical properties of ML methods and estimating marginal effects with economic applications.

Recent publications analyze alumni volunteerism, develop kernel regularized least squares estimators for error covariance, and apply semiparametric time series techniques to financial risk modeling. These works demonstrate his interdisciplinary approach combining econometric rigor with modern computational methods.