The literature on deregulated electricity markets generally assumes available capacities to be given. In contrast, this paper studies a model where firms precommit to capacity levels before competing in a uniform price auction. The analysis sheds light on recent empirical findings that firms use...

Following new legislation the Swedish electricity market is about to be deregulated. The new system is designed to ensure competition in production and supply. The Swedish electricity market is characterised by a high degree of concentration on the seller side. In this paper we use a simple...

The purpose of this paper is to quantitatively evaluate the impact on electricity prices of deregulation and free trade in the Nordic countries. The analysis is focused on the impact of increased competition on market power and the degree of monopolistic pricing. The major tool for our analysis...

It has been argued that having a contract market before the spot market enhances competition (Allaz and Vila, 1993). Taking into account the repeated nature of electricity markets, we check the robustness of the argument that the access to contract markets reduces the market power of generators....

Sets closed under rational behavior were introduced by Basu and Weibull (1991) as subsets of the strategy space that contain all best replies to all strategy profiles in the set. We here consider a more restrictive notion of closure under rational behavior: a subset of the strategy space is...

Bayesian inference for DSGE models is typically carried out by single block random walk Metropolis, involving very high computing costs. This paper combines two features, adaptive independent Metropolis-Hastings and parallelisation, to achieve large computational gains in DSGE model estimation....

Bernardo and Ledoit (2000) develop a very appealing framework to compute pricing bounds based on the so-called gain-loss ratio. Their method has many advantages and very interesting properties and so far one important drawback: the complexity of the numerical computation of the pricing bounds....

The full Bayesian treatment of error component models typically relies on data augmentation to produce the required inference. Never stricly necessary a direct approach is always possible though not necessarily practical. The mechanics of direct sampling are outlined and a template for including...

We show how it is possible to generate multivariate data which have moments arbitrary close to the desired ones. They are generated as linear combinations of variables with known theoretical moments. It is shown how to derive the weights of the linear combinations in both the univariate and the...

Prefetching is a simple and general method for single-chain parallelisation of the Metropolis-Hastings algorithm based on the idea of evaluating the posterior in parallel and ahead of time. In this paper improved Metropolis-Hastings prefetching algorithms are presented and evaluated. It is shown...