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...

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,...

Focusing on travel survey data from Germany, this paper investigates the determinants of automobile travel, with the specific aim of quantifying the effects of fuel prices and fuel economy. The analysis is predicated on the notion that car mileage is a two-stage decision process, comprising the...

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,...

Rebound effects measure the behaviorally induced offset in the reduction of energy consumption following efficiency improvements. Using panel estimation methods and household travel diary data collected in Germany between 1997 and 2009, this study identifies the rebound effect in private...

Many countries have introduced Energy Performance Certificates (EPCs) to mitigate information asymmetry problems with respect to the thermal quality of houses. Using data on real estate advertisements that cover large parts of the German housing market, this paper empirically investigates the...