Spatial heterogeneity and spatial dependence are two well established aspects of house price developments. However, the analysis of differences in spatial dependence across time and space has not gained much attention yet. In this paper we jointly analyze these three aspects of spatial data. We...

In this paper, we evaluate the forecasting ability of 115 indicators to predict the housing prices and rents in 71 German cities. Above all, we are interested in whether the local business confidence indicators can allow substantially improving the forecasts, given the local nature of the...

Through an intertemporal budget constraint, jurisdictions may gain advantages in tax and spending competition by 'competing' on debt. While the existing spatial econometric literature focuses on tax and spending competition, very little is known about spatial interaction via public debt. This...

Entrepreneurship is a local and dynamic phenomenon. We jointly investigate spatial spillovers and time persistence of regional new business formation. Using panel data from all 402 German counties for 1996-2011, we estimate dynamic spatial panel models of business creation in the high-tech and...

Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric technique that automatizes the selection of non-linear terms in regression models. Non-linearities and spatial effects are natural characteristics in numerous spatial hedonic pricing models. In this paper, we...

Die aktuellen Finanzmarktturbulenzen wurden durch Entwicklungen im Immobiliensektor ausgelöst. Vor diesem Hintergrund analysiert dieser Beitrag den Zusammenhang zwischen den Immobilienpreisen und der Geldmengen- und Kreditvolumensentwicklung für den Zeitraum 1992 -2006 (westdeutsche...

In this paper, we construct a data set of Internet offer prices for flats in 48 large European cities from 24 countries. The data are collected in January - April 2012 from 33 websites, where the advertisements of flats for sale are placed. Using these data we investigate the determinants of the...

The price for a single-family house depends both on the characteristics of the building and on its location. We propose a novel semiparametric method to extract location values from house prices. After splitting house prices into building and land components, location values are estimated with...

In this paper, we examine the effects of an airport expansion on the prices of houses and flats located under the planned flight corridors. We focus on the role of expectations about the exposure to noise and find that proximity to the planned corridors significantly reduces real estate prices...

Concerns about global warming and growing scarcity of fossile fuels require substantial changes in energy consumption patterns and energy systems, as targeted by many countries around the world. One key element to achieve such transformation is to increase energy efficiency of the housing stock....