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.File in questo prodotto:
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