Established tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms can be manipulated by changing the order of variables in the forecasting model. We derive order invariant tests. The new tests are applicable to densities of arbitrary...

In this paper, we see how much the average monthly frequency of price changes ties down the behavior of firms in steady-state in terms of the average length of price-spells across firms. We use the UK CPI data at the aggregate and sectoral level and find that the actual mean is about twice the...

Global climate change and other environmental challenges require the development of new energy technologies with lower emissions. In the near-term, R&D investments, either by government or the private sector, can bring down the costs of these lower emission technologies. However, the results of...

The mix of public and private research funding investments in alternative energy presents a challenge for isolating the effect of government R&D funding. Factors such as energy prices and environmental policy influence both private and public R&D decisions. Moreover, because government R&D is...

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...

This paper provides ex-post empirical evidence on the effects of green technology support policies, in comparison with other climate policies, on carbon dioxide emissions at the aggregate national level. The paper uses cross-country dynamic panel estimation for a sample of 38 countries over the...

Employing a continuous-time real options modeling framework, this paper scrutinizes the incentives to invest in German offshore wind farms. The focus of the analysis is the mode of action of the German feed-in tariff system for offshore wind energy deployment. The numerical results reveal that...

The Clean Development Mechanism (CDM) is a project-based carbon trade mechanism that subsidizes the users of climate-friendly technologies and encourages technology transfer. The CDM has provided financial support for a large share of Chinese wind projects since 2002. Using pooled...

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...

Subsidies to renewable energy are costly and contentious. We estimate the reduction in prices that follows from the subsidized entry of wind power in the Nordic electricity market. A relatively small-scale entry of renewables leads to a large-scale transfer of surplus from the incumbent...