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.
2020
9788891921239
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/447060
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