We estimate a hedonic price function for the characteristics of housing units in Santiago, Chile, with the aim to capture unobserved utility-generating attributes for each unit. We used for this purpose two different semiparametric regression methods: a local linear kernel regression with a...

In this paper we explore spatial effects in a hedonic price function framework for a large sample of apartments in Moscow. We find strong evidence of both spatial lag and spatial autocorrelation. Our results are robust across both the spatial model specifications and the choice of the spatial...

Spatial homogeneity is a strong assumption in the hedonic housing price context; if not analyzed conveniently it can be a potential source of specification errors. Spatial heterogeneity occurs when a territorial segmentation exists in the housing market and, therefore, either the hedonic prices...

The aim of the study is to explain if the foreclosure effect on prices is explained by a lower quality of foreclosed houses, which is a crucial aspect in the intelligibility of foreclosures. Based on a novel and comprehensive dataset, we estimate the impact of foreclosure on home prices in...

Hedonic house price indices adjust the average sales prices for the change in the quality of the property sold over time. This paper proposes a framework to disentangle the contribution of each individual dwelling characteristic to this quality change. We apply our framework to a unique dataset...

This work explores the impact of 'Studentification' of a neighborhood on the profitability of investment in the housing market. The study breaks down the impact of students on the housing market into two areas: apartments for sale and apartments for rent. The Israeli housing market provides the...