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Session 4: Computational Methods for Dynamic Economies and Games

August 1-3, 2016
Deadline for Applications: 
April 11th

Organized by:

  • Kenneth Judd, Hoover Institution, Stanford University
  • Felix Kubler, University of Zurich
  • Thomas Sargent, New York University
  • Karl Schmedders, University of Zurich
  • Christopher Sleet, Carnegie Mellon University
  • Sevin Yeltekin, Carnegie Mellon University

Dynamic economies with heterogeneous agents are naturally high dimensional objects. Their quantitative analysis requires efficient and accurate optimization and approximation procedures. This session will include papers that develop numerical methods for dynamic heterogeneous agent competitive models with many agents and strategic models with finite agents. The primary focus will be on numerical solutions to contracting problems in discrete and continuous time, mean field games, dynamic recursive games and dynamic general equilibrium models. We seek applications to problems in industrial organization (e.g. firm dynamics and size distribution), finance (e.g. information percolation), and macroeconomics (e.g. income and wealth distribution, knowledge diffusion and growth, optimal social insurance).