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

This paper presents evidence that the accumulating cost of Germany’s ambitious plan to transform its system of energy provision – the so-called Energiewende – is butting up against consumers’ willingness-to-pay (WTP) for it. Following a descriptive presentation that traces the German...

Germany’s energy transition has been accompanied by a near doubling of power prices for private households since the outset of the new millennium. Millions of poor households and those that are close to the poverty threshold are likely to suffer from these increases in electricity cost....

Discrete-continuous models have become a common technique for addressing selectivity biases in data sets with endogenously partitioned observational units. Alternative two-stage approaches have been suggested by LEE (1983), DUBIN and MCFADDEN (1984), and DAHL (2002), all of which capture the...

In 2021, Germany will launch a national emissions trading system (ETS) in its road transport and housing sectors. This climate policy instrument aims at raising the energy cost burden of those households and firms that consume fossil fuels, the major source of carbon dioxide (CO2) emissions. A...

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,...

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...

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,...

Interactions among peers of the same social network play significant roles in facilitating the adoption and diffusion of modern technologies in poor communities. We conduct a large-scale randomized controlled trial in rural India to identify the impact of information from friends on willingness...

We investigate the effect of reputational motivation on output in a scenario of overprovision of medical treatment. We assume that physicians differ in their degree of altruism, enjoy being perceived as good but dislike being perceived as greedy. We show that better reputational motivation...