Computational Economics

1.5 credits · Graduate credit

This course covers computational methods (numerical mathematics used in economics. The course is motivated in part by dynamic programming (such as taught in Econ 752) and on equilibria to games with forward looking agents, although the computational lessons apply to other sorts of computational problems. Specific numerical techniques include nonlinear equation solving integration, optimization and differentiation. We will cover computational methods useful in structural estimation, although the material complements rather than substitutes for the applied.