Monte Carlo

The bias-corrected Monte Carlo operator

Introduction In this blog post, I am going to present my recent work on the bias-corrected Monte Carlo operator, or more compactly “bc-MC operator”, which was recently published here in the JEDC. In this paper, I propose a new methodology to combine Monte Carlo and neural networks to solve large scale economic models. In this blog post, my goal is to give an intuitive description of this method. Theory Structure of economic models In many cases, solving an economic model involves finding a policy function $g(.

Artificial Neural Networks to solve dynamic programming problems: a bias-corrected Monte Carlo operator

Artificial Neural Networks (ANNs) are powerful tools that can solve dynamic programming problems arising in economics. In this context, estimating ANN parameters involves minimizing a loss function based on the model's stochastic functional …