With the special theme « Deep Learning for Solving and Estimating Dynamic Models »
Simon Scheidegger, jointly with Fedor Iskakhov (Australian National University), Felix Kübler (University of Zurich), Robert Miller (Carnegie Mellon University), John Rust (Georgetown University), and Bertel Schjerning (University of Copenhagen) organize the Econometric Society Summerschool and Conference on Dynamic Structural Estimation (DSE2023) in Lausanne. The summer school and conference will take place from August 21st to 26th in Lausanne, with the special theme Deep Learning for Solving and Estimating Dynamic Models.
The lecturers include
Hui Chen (MIT)
Jesus Fernandez-Villaverde (University of Pennsylvania)
Fedor Iskhakov (Australian National University)
Felix Kubler (University of Zurich, Swiss Finance Institute)
Semyon Malamud (EPFL, Swiss Finance Institute)
Robert A. Miller (Carnegie Mellon University)
Whitney Newey (MIT)
John Rust (Georgetown University)
Rafael Sarmiento (Swiss National Supercomputing Center)
Simon Scheidegger (Univeristy of Lausanne)
Bertel Schjerning (Univeristy of Copenhagen)
John Stachurski (Australian National University)
Yucheng Yang (Princeton University, University of Zurich)
DSE summer school will equip early and mid-stage PhD students with tools and hands-on computational instruction in deep learning applied to solving and estimating dynamic models, thereby closely integrating economic and econometric theory in empirical work.
The summer school will consist of 4 days of lectures and will run alongside with 2 days conference in dynamic structural econometrics. The conference brings together top junior and senior researchers from the field to discuss recent advances in theoretical and applied work.
More details and application forms can be found here: https://dseconf.org/dse2023
We look forward to welcoming you at this event !