Dec 29, 2021 · An efficient, reliable, and interpretable global solution method, the Deep learning-based algorithm for Heterogeneous Agent Models (DeepHAM), is ...
Table 1: Model features that different solution methods for HA models with aggregate shocks can handle. In this paper, we propose a new solution method, the ...
Recent research highlights importance of heterogeneity in macroeconomics. • Heterogeneous agent (HA) models with aggregate shocks are solved with global.
Feb 5, 2022 · This paper: a new efficient, reliable, and interpretable global solution method for high dimensional HA models with aggregate shocks using deep ...
Guess (consumption) policy functions. • can simulate panel of agents w aggregate & idiosyncratic shocks. 2. Simulate until distribution settles down at ergodic ...
An efficient, reliable, and interpretable global solution method, the Deep learning-based algorithm for Heterogeneous Agent Models (DeepHAM), ...
DeepHAM: A global solution method for heterogeneous agent models with aggregate shocks. Jiequn Han, Yucheng Yang, Weinan E. arXiv SSRN PDF. Link to code ...
Our starting point is the aggregate wealth of a given economy, with a given repartition of the wealth among investors, which is not necessarily Pareto optimal.
Besides being an accurate global solver, this method has three additional features. First, it is computationally efficient for solving complex heterogeneous ...
... algorithm for Heterogeneous Agent Models (DeepHAM), for solving high dimensional heterogeneous agent models with aggregate shocks. The state distribution is ...