The Sequential Endogenous Grid Method
Efficient method for solving heterogeneous agent models with multiple decisions, extending the Endogenous Grid Method with Gaussian Process Regression for unstructured grids.
Efficient method for solving heterogeneous agent models with multiple decisions, extending the Endogenous Grid Method with Gaussian Process Regression for unstructured grids.
Analytical buffer-stock bounds in the network’s output layer anchor the learned policy in the high-wealth tail. On the Krusell-Smith testbed, out-of-sample Euler errors are orders of magnitude smaller where capital concentrates.
Novel framework combining macroeconomic and agent-based financial market modeling to study financial stability with household agents.
Enhances heterogeneous agent models by integrating life cycle considerations and wealth-dependent utility into structural estimation.
Uses a unique stock market model to show how investors with different expectations impact financial stability. Supported by DARPA.