The movement to deregulate major industries over the past 40 years has produced large efficiency gains. However, distributional effects have been more difficult to assess. In the electricity sector, deregulation has vastly increased information available to market participants through the...

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...

Under collusion, firms deviate from current profit maximization in anticipation of future rewards. As current profit maximization places little restrictions on firms’ pricing behaviour, collusive conduct is hard to infer. We show that bids from certain firms in the Colombian wholesale...

Electricity transmission redistributes environmental impacts across space. We exploit episodes of high electricity transmission system congestion to explore changes in ambient concentrations of air pollutants in the eastern United States. Reducing electricity system congestion decreases ozone...

We employ hourly electricity load data for Switzerland as a real time indicator of the economic effects of the lockdown following the spread of SARS-CoV-2. Our findings reveal that following the drastic lockdown, overall electricity use decreased by 4 per cent, with a reduction of even 11.3 per...

We propose one of the first dynamic models of the optimal transition from fossil fuels to renewables in electricity generation that takes into account the variability and intermittency of renewable energy as well as storage. This work sheds light on the extent to which variability and...

This paper quantifies a tenant-side "split incentives" problem that exists when the largest commercial sector customers are on electricity-included property lease contracts causing them to face a marginal electricity price of zero. We use exogenous variation in weather shocks to show that the...

We analyse the drivers of European Power Exchange (EPEX) wholesale 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...

We study how carbon pricing has affected inflation ex-post, using dynamic panel estimation of New-Keynesian Phillips curves for 35 OECD economies from 1995 to 2020. As carbon pricing we consider prices of emissions trading systems (ETS) and carbon taxes. We find that an increase in prices of ETS...