Philip Shaw

Dr. Philip Shaw is an Associate Professor of Economics at Fordham University's Department of Economics. His research focuses on computational macroeconomics, nonparametric econometrics, and the economic impacts of corruption. He holds a Ph.D. from the University of Connecticut and specializes in macroeconomic theory, economic growth, and computational methods. Shaw teaches advanced courses such as Macroeconomic Theory II, Monetary Policy, and Nonparametric Econometrics. His work explores topics like educational corruption's effects on economic growth, nonparametric instrumental variable estimation, and stochastic general equilibrium models. He has published extensively in journals like the Journal of Econometric Methods, Contemporary Economic Policy, and Economics Letters. His teaching emphasizes computational tools like R and MATLAB for econometric analysis. Shaw's research bridges theoretical frameworks with practical computational solutions in macroeconomics and finance.

Education:

• Ph.D., University of Connecticut

Key Research Themes:

• Nonparametric econometric methods
• Computational solutions to DSGE models
• Educational corruption and its macroeconomic implications
• Instrumental variable estimation techniques

Teaching Responsibilities:

• Graduate courses: Computational Economics, Econometrics I & II, Monetary Policy
• Undergraduate courses: Introductory Econometrics

Recent Articles:

Shaw's recent work includes analyzing corruption's role in educational choices (2023), nonparametric approaches to stochastic growth models (2014), and the determinants of educational corruption in Ukraine (2015). His methods often integrate advanced computational techniques to address econometric challenges.