Recently, the evolution of the real estate market is considered a key indi- cator of the well-being level of the economic system. In particular, positive perfor- mance of the housing sector could drive the economic growth as well as improve social and environmental conditions of a country. Thus, the study of the indices measuring the performance of this sector could be a useful tool for planning macroe- conomic policies for a territory. In this paper, the behavior of a real estate index in the Italian provinces, from 2000 to 2018, will be studied through a nonparamet- ric space-time geostatistical analysis. In particular, the probability that the amount of the transactions in the residential sector exceeds some fixed thresholds will be estimated for the period 2019-2021.
Space-time nonparametric analysis for the Italian real estate market
Cappello C.;De Iaco S.
;Palma M.;Posa D.
2020-01-01
Abstract
Recently, the evolution of the real estate market is considered a key indi- cator of the well-being level of the economic system. In particular, positive perfor- mance of the housing sector could drive the economic growth as well as improve social and environmental conditions of a country. Thus, the study of the indices measuring the performance of this sector could be a useful tool for planning macroe- conomic policies for a territory. In this paper, the behavior of a real estate index in the Italian provinces, from 2000 to 2018, will be studied through a nonparamet- ric space-time geostatistical analysis. In particular, the probability that the amount of the transactions in the residential sector exceeds some fixed thresholds will be estimated for the period 2019-2021.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
