Uncertainty is critical to questions about climate change policy. Recently developed
recursive integrated assessment models have become the primary tools for studying and …

The computationally demanding dynamic programming (DP) algorithm is frequently used in
academic research to solve the energy management problem of a hybrid electric vehicle …

Computational methods are required to solve problems without closed-form solutions in
environmental and resource economics. Efficiency, stability, and accuracy are key elements …

There is great uncertainty about the impact of anthropogenic carbon on future economic
wellbeing. We use DSICE, a DSGE extension of the DICE2007 model of William Nordhaus …

We survey numerical methods that are tractable in dynamic economic models with a finite,
large number of continuous state variables.(Examples of such models are new Keynesian …

Dynamic programming is the essential tool in dynamic economic analysis. Problems such as
portfolio allocation for individuals and optimal economic growth are typical examples …

This paper introduces a dynamic stochastic integrated model of climate and economy
(DSICE), and a numerical dynamic programming algorithm for its solution. More specifically …

We introduce an envelope condition method (ECM) for solving dynamic programming
problems. The ECM method is simple to implement, dominates conventional value function …

Dynamic programming is the essential tool in dynamic economic analysis. Problems such as
portfolio allocation for individuals and optimal growth of national economies are typical …

We implement a dynamic programming algorithm on a computational grid consisting of
loosely coupled processors, possibly including clusters and individual workstations. The grid …