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The deep equilibrium net "continuum of agent" model

This script provides the code used to model and solve a model with a continuum of agents, and aggregate and idiosyncratic shocks in Appendix A.5 of Azinovic, Gaegauf, & Scheidegger (2022). For a more streamlined application, see the analytic notebook.

Prerequisites / Installation

This script was programmed in TensorFlow 2 and is not TensorFlow 1 compatible. To install Tensorflow 2, use

    $ pip install tensorflow

To upgrade from TensorFlow 1 to TensorFlow 2, use

    $ pip install --upgrade tensorflow

Usage

There are two modes to run this code:

  1. the final network weights presented in the paper can be loaded and used to output a host of plots;
  2. the deep equilibrium net can be trained from scratch.

We have simplified the code such that the only user input is the desired running mode. To run, follow these instructions:

In terminal:

    $ cd DeepEquilibriumNets/code/python-scripts/continuum_of_agents

Mode 1: Load the trained network weights

    $ python continuum_of_agents.py

The results are saved to ./output/deqn_continuumagents_restart

Mode 2: Train from scratch

    $ python continuum_of_agents.py --train_from_scratch

The results are saved to ./output/deqn_continuumagents.