dse2023
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
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Repository
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
Basic Info
- Host: GitHub
- Owner: dseconf
- Language: Jupyter Notebook
- Default Branch: main
- Size: 320 MB
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- Stars: 155
- Watchers: 11
- Forks: 72
- Open Issues: 0
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Metadata Files
README.md
Econometric Society Summer School and conference in Dynamic Structural Econometrics (DSE2023)
Topic: Deep Learning for Solving and Estimating Dynamic Models
This public repository contains the training materials, tutorials, lecture notes, and code for the DSE2023 summer school and conference, held at the Department of Economics, University of Lausanne, Switzerland from August 21-26th, 2023.
Anyone is free to use this teaching material. In the latter case, a reference to this repository would, however, be expected
Materials will be added to the repository throughout the course, which will require that students either update their copy of the repository or download/checkout a new copy of the repository.
Citation
Please cite Deep Learning for Solving and Estimating Dynamic Models in your publications if it helps your research or teaching:
@software{simon_scheidegger_2023_8319164,
author = {Scheidegger, Simon and
Rust, John and
Stachurski, John and
Iskhakov, Fedor and
Schjerning, Bertel and
Yang, Yucheng and
Kubler, Felix and
Fern{\'a}ndez-Villaverde, Jes{\'u}s and
Miller, Robert A. and
Newey, Whitney and
Misra, Sanjog and
Sarmiento, Rafael and
Azinovic, Marlon and
Chen, Hui and
Malamud, Semyon and
White, Matthew N. and
Semenova, Vira and
Zhou, Kangying and
Payne, Jonathan and
Chassot, Jonathan and
Nuno, Galo and
Pelican, Andrin and
Kase, Hanno and
Maliar, Lilia},
title = {dseconf/DSE2023: DSE2023 materials},
month = sep,
year = 2023,
publisher = {Zenodo},
version = {DSE2023\_DOI},
doi = {10.5281/zenodo.8319164},
url = {https://doi.org/10.5281/zenodo.8319164}
}
DSE2023 Lecturers, invited speakers, and organizers of DSE2023 (in alphabetical order)
- Marlon Azinovic (University of Pennsylvania)
- Hui Chen (Massachusetts Institute of Technology)
- 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)
- Lilia Maliar Zakladna (The City University of New York)
- Robert A. Miller (Carnegie Mellon University)
- Sanjog Misra (University of Chicago Booth School of Business)
- Whitney Newey (Massachusetts Institute of Technology)
- John Rust (Georgetown University)
- Rafael Sarmiento (Swiss National Supercomputing Center)
- John Stachurski (Australian National University)
- Simon Scheidegger (University of Lausanne)
- Bertel Schjerning (University of Copenhagen)
- Yucheng Yang (University of Zurich/Princeton)
Announcements
We will be using Zulip to post news and links relevant to the event: you should have received an invitation to join the Summer School Zulip workspace.
Online Participation
We will be using Zoom throughout the summer school and conference: you should have received an invitation to join the Zoom space.
Nuvolos Cloud - Our Computational Infrastructure
We will be using Nuvolos Cloud throughout the summer school as computational Infrastructure: you should have received an invitation to join this cloud.
- Nuvolos Support: support@nuvolos.cloud
Time table of the Summer School
Registration will take plance on Monday, August 21st, from 8:30-9:00 am at Anthropole, room Anthropole 2064.
For the Ph.D. student organized hang-out session on Tuesday, August 22nd, from 18:30 onward, please fill out this form
For the Pizza and coding event that takes place on Wednesday, August 23rd, please fill out this form no later than Monday, August 21st.
Lecture | Date | Time | Topic | Lecturer -----|-----|------|------|------ 01 | 08.21.2023 | 09:00 - 10:20 | Introduction to deep learning, Tensorflow and, Nuvolos cloud | Scheidegger 02 | 08.21.2023 | 10:30 - 11:50 | Introduction to dynamic structural econometrics | Rust 03 | 08.21.2023 | 13:00 - 14:20 | Numerical Dynamic Programing / best practices in Python | Stachurski 04 | 08.21.2023 | 14:30 - 15:50 | Sturctual estimation of dynamic discrete choice models (MPEC and NFXP) | Schjerning 05 | 08.21.2023 | 16:00 - 17:20 | Stationary and Nonstationary Equilibrium in Durable Goods Markets | Iskhakov, Rust, Schjerning 06 | 08.22.2023 | 09:00 - 10:20 | Deep Equilibrium Nets | Scheidegger 07 | 08.22.2023 | 10:30 - 11:50 | DeepHAM: A global solution method for heterogeneous agent models with aggregate shocks | Yang 08 | 08.22.2023 | 13:00 - 14:20 | Deep Uncertainty Quantification: With an Application to Integrated Assessment Models | Kubler 09 | 08.22.2023 | 14:30 - 15:50 | Exploiting symmetry in high-dimensional DP models | Fernandez-Villaverde 10 | 08.22.2023 | 16:00 - 17:20 | Using deep learning to solve heterogeneous agents dynamic equilibrium problems | Fernandez-Villaverde 11 | 08.23.2023 | 09:00 - 10:20 | Conditional independence and the inversion theorem | Miller 12 | 08.23.2023 | 10:30 - 11:50 | Unobserved Heterogeneity and Finite Dependence | Miller 13 | 08.23.2023 | 13:00 - 14:20 | Machine Learning, CCPs, and Dynamic Discrete Choice | Newey 14 | 08.23.2023 | 14:30 - 15:50 | Deep Learning for Individual Heterogeneity | Misra 15 | 08.23.2023 | 16:00 - 17:20 | High-performance Computing with Python for Deep Learning | Sarmiento 16 | 08.23.2023 | 18:30 - 20:00 | Pizza and Coding | Azinovic 17 | 08.26.2023 | 09:00 - 10:20 | Deep Surrogates for Structural Estimation | Chen 18 | 08.26.2023 | 10:30 - 11:50 | Random Matrix Theory and Machine Learning in Asset Pricing | Malamud 19 | 08.26.2023 | 13:00 - 14:20 | Advances in dynamic programming: theory and algorithms | Stachurski 20 | 08.26.2023 | 14:30 - 15:50 | Endogenous grid point methods and machine learning | Iskhakov 21 | 08.26.2023 | 16:00 - 16:30 | Wrap-up and adjourn | Rust
- Updates of the tentative schedule for the DSE2023 summer school can be found here.
Time table of the Conference (August 24 and 25th, 2023)
The tentative schedule for the DSE2023 conference can be found here.
Registration will be in front of Anthropole, room 1129.
Coffe breaks will be in front of Anthropole, room 1031.
Conference dinner will take place on August 24th, 18:30, at the Restaurant du Theatre. Please fill out this form no later than Monday, August 21st, 2023, if you plan on attending.
Econ-Ark sponsored reception will take place on August 25th, 18:00, at the Vortex at Le Perchoir Rooftop-Bar at the Vortex building at UNIL Please fill out this form
Prerequisites
- Basic programming in Python (see this link for a thorough introduction)
- Basic calculus and probability (Mathematics for Machine learning provides a good overview of skills participants are required to be fluent in).
- Basic econometrics
Location of the Summer School and Conference
DSE2023 will take place at the University of Lausanne, in the building called Anthropole.
You can find all plans of the University bulidings here.
This is the Anthropole building:
- The summer school takes place in Anthropole room 2064 (marked with a red circle).
- The conference takes place in Anthropole room 1129 (marked with a red circle).
Owner
- Name: DSE conference and summer school
- Login: dseconf
- Kind: organization
- Email: fedor.iskhakov@anu.edu.au
- Website: dseconf.org
- Repositories: 3
- Profile: https://github.com/dseconf
Annual conferences and summer schools in dynamic structural econometrics
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