It is well known that the real estate market performance is used as a measure of the economic health, since they are positively correlated: when the economy rises, the real estate market rises as well, and vice versa. In this paper the behavior of the residential real estate market in the Italian provinces during a 19-year span (from 2000 to 2018) is studied through a nonparametric spatio-temporal geostatistical analysis. In particular, the probability that the amount of the transactions in the residential sector exceeds some fixed thresholds is estimated for the period 2019-2021.

Nonparametric spatio-temporal interpolation for an Italian real estate index

Cappello C.;De Iaco S.
;
Palma M.;Pellegrino D.;Posa D.
2019-01-01

Abstract

It is well known that the real estate market performance is used as a measure of the economic health, since they are positively correlated: when the economy rises, the real estate market rises as well, and vice versa. In this paper the behavior of the residential real estate market in the Italian provinces during a 19-year span (from 2000 to 2018) is studied through a nonparametric spatio-temporal geostatistical analysis. In particular, the probability that the amount of the transactions in the residential sector exceeds some fixed thresholds is estimated for the period 2019-2021.
2019
9788886638654
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/431841
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact