We introduce a computational technique- precomputation of integrals - that makes it possible to construct conditional expectation functions in dynamic stochastic models in the initial stage of a solution procedure. This technique is very general: it works for a broad class of approximating...

We compare local and global polynomial solution methods for DSGE models with Epstein-Zin-Weil utility. We show that model implications for macroeconomic quantities are relatively invariant to choice of solution method but that a global method can yield substantial improvements for asset prices...

Three models of trading on the electricity commodity exchange are presented, where the market clearing price is based on the weighted average value of the proposed goods. The models make it possible to estimate the prices of the goods offered for sale on the basis of two parameters; the market...

This paper discusses issues related to GPU for Economic problems. It highlights new methodologies and resources that are available for solving and estimating economic models and emphasizes situations when they are useful and others where they are impractical. Two examples illustrate the...

The electricity commodity exchange is a place where you can sell and buy, among other things, electricity. Is the sale free from profit-generating activities that have no relation to the production costs incurred ? Here, we suggest a mathematical model that tracks this type of the non-ethical...

In the course of the energy transition, load and supply centers are growing apart in electricity markets worldwide, rendering regional price signals even more important to provide adequate locational investment incentives. This paper focuses on electricity markets that operate under a zonal...

We introduce an envelope condition method (ECM) for solving dynamic programming problems. ECM iterates on the Bellman equation forward and is much faster than conventional value function methods that iterate backward. In the studied examples, ECM is comparable in accuracy and cost to Carroll's...

This paper proposes a novel finite-state Markov chain approximation method for Markov processes with continuous support. The method can be used for both uni- and multivariate processes, as well as non-stationary processes such as those with a life-cycle component. The method is based on...

Extreme natural hazards represent, together with crises and wars, the most disruptive phenomena for economic activity. Their economic impact has been shown to be remarkable, long-lasting, and growing over time, though the exact mechanisms at stake are challenging to isolate and quantify. As...