Qual Quant https://doi.org/10.1007/s11135-018-0768-8 The residential real estate market in Italy: a spatio‑temporal analysis 1 1 1 1 Monica Palma · Claudia Cappello · Sandra De Iaco · Daniela Pellegrino © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract Real estate market follows generally the evolution of the economic cycles. In Italy, it has been characterized by a period of expansion (2000–2006) and a period of regression (2007–2013), with a slow growth in the last years, which reflects essentially the European context. The empirical distribution of the number of normalized transactions (NNT), registered in the residential real estate market, provides a realistic picture of the Italian market and reveals several differences among the Northern, Central and Southern parts of the nation. Although time series analysis has been widely used to describe the temporal evolution of socio-economic variables, recently increasing attention has been also given to the study of the spatial distribution of these phenomena. The aim of the paper is to propose a geostatistical model for describing and predicting simultaneously the spatial and temporal evolution of the Italian NNT. After discussing the systematic variations of the NNT, the residuals at local level, which are characterized by a significant spatio-temporal correlation, are studied and modeled. The
Quality & Quantity – Springer Journals
Published: May 30, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud