More than 40% of US grain is used for energy due to the Renewable Fuels Mandate (RFS). There are no studies of the global distributional consequences of this purely domestic policy. Using micro-level survey data, we trace the effect of the RFS on world food prices and their impact on household...

Considering that the major part of greenhouse gases is carbon dioxide, there is a global concern aimed at reducing carbon emissions. Additionally, major consumer countries are looking for alternative sources of energy to avoid the impact of higher fossil fuel prices and political instability in...

Information and communication technology plays an important role in achieving a higher level of energy efficiency. In particular, energy efficiency can be achieved by integrating information technology into electricity networks to enable the interaction between suppliers and customers (smart...

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...

Although there is strong support for renewable energy plants, they are often met with local resistance. We quantify the externalities of renewable energy plants using wellbeing data. We focus on the example of biogas, one of the most frequently deployed technologies besides wind and solar. To...

Many empirical questions in economics and other social sciences depend on causal effects of programs or policies. In the last two decades much research has been done on the econometric and statistical analysis of the effects of such programs or treatments. This recent theoretical literature has...

Macroeconomists have long been concerned with the causal effects of monetary policy. When the identification of causal effects is based on a selection-on-observables assumption, non-causality amounts to the conditional independence of outcomes and policy changes. This paper develops a...

Education policy-makers and practitioners want to know which policies and practices can best achieve their goals. But research that can inform evidence-based policy often requires complex methods to distinguish causation from accidental association. Avoiding econometric jargon and technical...

This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...

Arguably, one of the most important developments in the field of applied economics during the last decades has been the emergence of systematic policy evaluation, with its distinct focus on the establishment of causality. By contrast to the natural sciences, the objects of our scientific...