In this paper, we make multi-step forecasts of the monthly growth rates of the prices and rents for flats in 26 largest German cities. Given the small time dimension, the forecasts are done in a panel-data format. In addition, we use panel models that account for spatial dependence between the...

In this paper, we propose an indicator of the homeownership rate based on Internet ads offering the housing for rent and sale. We constructed the HOR estimate using the number of ads in four different markets (flats for rent, flats for sale, houses for rent, and houses for sale). Our HOR...

We use a neoclassical production function to analyze the effects of knowledge spillovers via entrepreneurship on economic performance of 337 German districts. To take the spatial dependence structure of the data into account, we estimate a spatial Durbin model. We highlight the importance of the...

In this paper, we develop a market screening model to detect inconstancies in price changes. Although there is a long history of industrial organization research of collusion, price setting behavior, and conduct - a robust model to detect structural changes in market structure was missing so...

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...