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...

We develop and implement a new method for identifying wasted subsidies, and use it to provide systematic evidence on the misallocation of carbon offsets in the Clean Development Mechanism - the world's largest carbon offset program. Using newly constructed data on the locations and...

For a long time, Norway has had resource rent taxes on oil- and natural gas extraction as well as on hydropower generation. Recently, resource rent taxes have also been levied on aquaculture, and wind power generation. This paper, gives a short overview of the rent theory, the basis for rent...

Wind farm development, despite offering global benefits, often encounters local opposition fostered by local negative externalities and uncertain benefits. This study investigates the financial impact of wind farm development on host municipalities using Spanish municipality-level budget data...

We study the prevalence and effects of individuals with past criminal charges among candidates and elected politicians in Brazil. Individuals with past criminal charges are twice as likely to both run for office and be elected compared to other individuals. This pattern persists across political...

We empirically investigate the existence of spatial autocorrelation between military dictatorships in Sub-Saharan Africa from 1977 through 2007. We apply a Bayesian SAR probit regression, extended to a pooled model. We find a robust and positive spatial autocorrelation coefficient, which shows a...