Power market integration is analyzed in a two countries model with nationally regulated firms and costly public funds. If generation costs between the two countries are too similar negative business-stealing outweighs efficiency gains so that following integration welfare decreases in both...

Producers or consumers faced with an increase in taxes are usually able to shift parts of it to other levels in the value chain. We examine who is actually bearing the burden of increased energy taxes in the EU-area - consumers or exporters. Traditional tax incidence theory presumes spot...

The Russian gas market is highly regulated. In this paper we examine possible impacts of regulatory changes on the demand side of this market. In particular, we consider the effects on Russian energy consumers of removing natural gas subsidies, and how changes in Russian gas consumption may...

I extend multi-unit auction estimation techniques to a setting in which firms can express cost complementarities over time. In the context of electricity markets, I show how the auction structure and bidding data can be used to estimate these complementarities, which in these markets arise due...

We estimate the relationship between electricity, fuel and carbon prices in Germany, France, the Netherlands, the Nord Pool market and Spain, using one-year futures for base and peak load prices for the years 2009-2012, corresponding to physical settlement during the second market phase of the...

In the context of supply function competition with private information, we test in the laboratory whether - as predicted in Bayesian equilibrium - costs that are positively correlated lead to steeper supply functions and less competitive outcomes than do uncorrelated costs. We find that the...

This paper estimates a bivariate VAR-GARCH(1,1) model to examine linkages between food and energy prices. The adopted framework is suitable to analyse both mean and volatility spillovers, and also allows for possible parameter shifts resulting from four recent events, namely: 1) the 2006 food...

This paper analyzes theoretically and empirically how upstream markets are affected by deregulation downstream. Deregulation tends to increase the level of uncertainty in the upstream market. Our theoretical analysis predicts that deregulated firms respond to this increase in uncertainty by...

We present a simple approach to transform a deterministic numerical model, where several agents simultaneously make decisions, into a stochastic model. This approach, which builds on scenario aggregation, a numerical method developed to solve decision problems under uncertainty, is used to build...

We analyse the drivers of European Power Exchange (EPEX) retail electricity prices between 2012 and early 2022 using machine learning. The agnostic random forest approach that we use is able to reduce in-sample root mean square errors (RMSEs) by around 50% when compared to a standard linear...