Energy labels have been introduced in many countries to make consumers more attentive to energy use in purchase decisions of durables. Despite their wide application, however, little is known about the effects of specific label designs. In this paper, we explore how energy labels can help to...

The overestimation of willingness-to-pay (WTP) in hypothetical responses is a well-known finding in the literature. Various techniques have been proposed to remove or, at least, reduce this bias. Using about 30,000 responses on WTP for a variety of power mixes from a panel of 6,500 German...

Given the rapid expansion of wind power capacities in Germany, this paper estimates the effects of wind turbines on house prices using real estate price data from Germany's leading online broker. Employing a hedonic price model whose specification is informed by machine learning techniques, our...

Recent research suggests that households would increase their electricity consumption in the aftermath of installing photovoltaics (PV) panels, a behavioral change commonly referred to as the solar rebound. Drawing on panel data originating from the German Residential Energy Consumption Survey...

The perception of risks accruing from climate change is a key factor for individual adaptation and prevention behavior, as well as for the willingness to support climate policy measures. Using a generalized ordered logit approach and drawing on a large data set originating from two surveys among...

Based on the seminal paper of Farrell (1957), researchers have developed several methods for measuring e fficiency. Nowadays, the most prominent representatives are nonparametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA), both introduced in the late 1970s....