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...

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 adaptive weight smoothing. The adaptive estimator requires neither strong smoothness assumptions nor local...

We analyze the impacts of alternative submarket definitions when predicting house prices in a mass appraisal context, using both ordinary least squares (OLS) and geostatistical techniques. For this purpose, we use over 13,000 housing transactions for Louisville, Kentucky. We use districts...

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...

In this paper, the authors construct a unique data set of Internet offer prices for flats in 48 large European cities across 24 countries. The data collected between January and May 2012 from 33 websites, are drawn from Internet advertisements of dwellings. Using the resulting sample of more...

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...

In this paper, the authors construct a unique data set of Internet offer prices for flats in 48 large European cities from 24 countries. The data are collected between January and May 2012 from 33 websites, where the advertisements of flats for sale are placed. Using the resulting sample of...

"Spatial thinking" is increasingly popular in housing market studies and spatial dependence across properties has been widely investigated in the intra-city housing market. The contribution of this paper is to study the spatial dependence and spillover effect of house prices from an interurban...

This paper elaborates a Spatial Autoregressive and Spatial Error Model (SAR-SE Model) to investigate the Italian house price dynamics. House prices in real terms have been modelled for the period 1995-2008 in all the 103 Italian provinces along with affordability ratio, persistency term, some...

We combine the real estate model of Potepan (1996) with the spatial equilibrium approach of Roback (1982) to prove the interdependency of housing prices, rental prices, building land prices and income via one simultaneous equilibrium analysis. Using unique crosssectional data on the majority of...