Summer School

There will be a 5 day summer school held in conjunction with the conference that focus on the empirical application of dynamic programming (DP) models and will discuss state of the art methods for solving and simulating DP models and estimating them, with a number of empirical applications to illustrate how these tools and methods are used in practice. We will also discuss the formulation and solution of dynamic equilibrium models and dynamic games and provide state of the art algorithms for finding equilibria and simulating and estimating such models. The summer school will also introduce students to machine learning methods and how these methods can be used to facilitate structural estimation of dynamic structural models.

Lectures will be given by: 

Students attending the summer school are expected to participate in the conference and the summer school is therefore planned for 3 days before and 2 days after the conference (May 28th-May 30th  and June 2nd-3rd).

More information information can be found on the summer school website