A Generalized Method of Moderation for Consumption under Uncertainty
Deep learning methods for solving dynamic economic models offer computational advantages but produce ‘black box’ solutions. This paper develops Economics Informed Neural Networks (EINNs) through a generalized method of moderation that embeds behavioral bounds directly into neural network architectures.