This paper proposes a hedonic regression model to estimate housing prices and the spatial variability of prices over multiple years. Using the model, maps are obtained that represent areas of the city where there have been positive or negative changes in housing prices. The regression-cokriging (RCK) method is used to predict housing prices. The results are compared to the cokriging with external drift (CKED) model, also known as universal cokriging (UCK). To apply the model, heterotopic data of homes for sale at different moments in time are used. The procedure is applied to predict the spatial variability of housing prices in multi-years and to obtain isovalue maps of these variations for the city of Granada, Spain. The research is useful for the fields of urban studies, economics, real estate, real estate valuations, urban planning, and for scholars.

In recent decades, the analysis of residential rental prices in Spain has gained increasing attention. From a socio-economic viewpoint, the increase in long-term rentals compared to new home purchases by the new generations has led researchers to examine phenomena such as the growth of the tourism sector or foreclosures. This paper uses a panel data model to analyze the influence of the rate of foreclosure evictions and number of tourist apartments on residential rental prices in 50 provinces of Spain for the period 2015–2018. The results show that an increase in the number of tourist apartment vacancies increases residential rental prices, while an increase in the rate of foreclosure evictions causes residential rental prices to fall.

This study aims to contribute new information on how and through which factors employment quality and housing quality can be improved from a human development approach so that people can live the life they want. Using the human capabilities approach as a theoretical reference framework, the article analyses the effect of involuntary part-time employment and overcrowded housing on the Human Development Index (HDI). The empirical analysis is based on the panel data technique, which is applied to data from the European Statistical Office (Eurostat) and the United Nations Development Programme (UNDP) for the 28 member countries of the European Union. The results shed new evidence on how involuntary part-time work and overcrowded housing limit or hinder people from living the lives they want, at least in the dimensions measured by the HDI.