Skip to Content
Purdue Krannert School of Management logo
Zhigang Feng

Zhigang Feng

Visiting Assistant Professor of Economics


Ph.D. Economics, University of Miami (2009)
M.A. Economics, Zhongnan University of Economics and Law (2003)

Since August 2012, I have held the position of Visiting Assistant Professor of Economics here at Krannert. I received my Ph.D. in Economics from the University of Miami in May 2009, worked as a postdoctoral fellow between 2009 and 2012 at the University of Zurich, Switzerland, before joining Purdue.

My research addresses the computation and simulation of dynamic equilibrium models with heterogeneous agents and market frictions. These models are workhorses to study important topics in macroeconomics and finance. However, computation of these models is usually a formidable task. My coauthors and I have developed a reliable, convergent recursive method for the computation of these economies. Using these methods, I study the effect of multiple equilibria on asset prices, the impact of financial market inefficiency on macro-economy, and time-consistent fiscal policies. I am also working on understanding the macro aspects of health and health care policy. 

I have extensive teaching experiences at both Graduat and Undergraduate level. I taught Recursive Methods and Computational Economics for PhD students at Zurich. While at Miami, I taught two years of Principles of Microeconomics and Macroeconomics. At Purdue, I am teaching Intermediate Macroeconomics, and am excited to teach Graduate Macroeconomic Theory in the Spring of 2013.

Journal Articles

  • Feng, Z., J. Miao, A. Peralta-Alva, and M. Santos (2012). Numerical Simulation of Non-optimal Dynamic Equilibrium Models. International Economic Review, | Download |
  • Feng, Z. (2012). Tackling Indeterminacy in the Overlapping Generations Model. Mathematical Method of Operational Research, vol. forthcoming | Download |

Proceedings (refereed)

  • Feng, Z. (2010). Macroeconomic Analysis of Universal Coverage in the U.S.. 2010 Social Computing, Behavioral Modeling, & Prediction, Springer Berlin / Heidelberg. | Related Website | Download |