Drawing on a data set containing 371,082 observations on new and used cars from 2008, this study employs a hedonic model to estimate the determinants of prices in the primary and secondary car markets in Germany. We are specifically interested in identifying those vehicle attributes that are...

In this paper, we decompose body mass index (BMI) differences between Turkish immigrants and Germans in West Germany for women and men. We focus on isolating the part of BMI differences that can be explained by differences in observed socioeconomic status from the part attributable to...

We explore whether non-competitive pricing prevails in Germany’s retail gasoline market by examining the influence of the crude oil price on the retail gasoline price, focusing specifically on how this influence varies according to the brand and to the degree of competition in the vicinity of...

In the academic debate there is a broad consensus that house price fluctuations have a substantial impact on financial stability and real economic activity. Therefore, it is important to have timely information on actual and expected house price developments. The aim of this paper is to measure...

The rising concentration of low-income households and ethnic minorities has become an important policy issue in Germany. The Ruhr Area is particularly interesting, because it is one of the largest conurbations in Europe and experienced radical structural changes in the past, which are connected...

Credit default is a dramatic consequence of disadvantageous private financial decisions. Using regression methods which eliminate spatial autocorrelation at the level of 1 km² grids and further identification problems, we observe considerable and reinforcing residential segregation between...

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,...

In urban areas, there is considerable neighbourhood-level variation in population characteristics. Using Dortmund as a case study we analyse whether and to what extent rents, housing prices and segregation dynamics corresponded with demographic ageing in urban neighbourhoods between 2007 and...

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...

Real estate prices are central to a range of themes that are, e.g., relevant for monetary policy, community development, environmental valuation, and economic planning more generally. This paper developes a real estate index based on apartment offer prices on the post code level for Germany,...