This paper analyzes the early research performance of PhD graduates in labor economics, addressing the following questions: Are there major productivity differences between graduates from American and European institutions? If so, how relevant is the quality of the training received (i.e....

When analyzing potential ways to counter climate change, standard models of green growth abstract from investment in substitutability between "clean" and "dirty" energy inputs. Instead, they rely on the assumption that efficiency with respect to fossil fuels can be increased perpetually....

While wind power is considered key in the transition towards net zero, there are concerns about adverse health impacts on nearby residents. Based on precise geographical coordinates, we link a representative longitudinal household panel to all wind turbines in Germany and exploit their staggered...

We analyze the interactions between different renewable support schemes and the benefits of real-time pricing (RTP) using a stylized economic model with a detailed demand-side representation calibrated to the German market. We find that there are considerable differences between a market premium...

Ecological labels are a market-oriented environmental policy instrument which is applied in a rising number of countries. Products have to meet several criteria in order to qualify for a label. Criteria on production processes of goods can potentially conflict with international trade rules....

Environmental policies frequently target the ratio of dirty to green output within the same industry. To achieve such targets the green sector may be subsidised or the dirty sector be taxed. This paper shows that in a monopolistic competition setting the two policy instruments have different...

Environmental taxation very often comprises special provisions for parts of the business sector in order to attenuate effects on competitiveness of emissionintensive activities. This paper discusses motives, alternative designs and criteria for the evaluation of such safeguards and analyzes if...

In 2013, around 121 billion US-Dollar were spend worldwide to promote the investment into renewable energy sources. The most prominent support scheme employed is a feed-in tariff, which guarantees a fixed price for electricity produced by renewable energies sources, usually for around 15 years...

Large-scale data show promise to provide efficiency gains through individualized risk predictions in many business and policy settings. Yet, assessments of the degree of data-enabled efficiency improvements remain scarce. We quantify the value of the availability of a variety of data...

Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framework that incorporates machine learning on...