The construction of a mass appraisal model requires the preliminary study of the real estate market, the sampling of sold properties, the development of a forecasting model and the verification of the appraisal results. They are generally computerised methods, that work with geo-referenced data. This experimental work has proceeded to build a mass appraisal model, collecting a data sample of sales of apartments in the city of Palermo, in the five years 2008–2012, using a multivariate statistical model (multilevel), testing the results and providing the operating applications in a scheme of online real estate valuations.

Ciuna, M., Salvo, F., Simonotti, M. (2017). The Multilevel Model in the Computer-Generated Appraisal: A Case in Palermo. In M. d'Amato (a cura di), The Multilevel Model in the Computer-Generated Appraisal: A Case in Palermo (pp. 225-261). Springer [10.1007/978-3-319-49746-4].

The Multilevel Model in the Computer-Generated Appraisal: A Case in Palermo

CIUNA, Marina;SIMONOTTI, Marco
2017-01-01

Abstract

The construction of a mass appraisal model requires the preliminary study of the real estate market, the sampling of sold properties, the development of a forecasting model and the verification of the appraisal results. They are generally computerised methods, that work with geo-referenced data. This experimental work has proceeded to build a mass appraisal model, collecting a data sample of sales of apartments in the city of Palermo, in the five years 2008–2012, using a multivariate statistical model (multilevel), testing the results and providing the operating applications in a scheme of online real estate valuations.
2017
Settore ICAR/22 - Estimo
Ciuna, M., Salvo, F., Simonotti, M. (2017). The Multilevel Model in the Computer-Generated Appraisal: A Case in Palermo. In M. d'Amato (a cura di), The Multilevel Model in the Computer-Generated Appraisal: A Case in Palermo (pp. 225-261). Springer [10.1007/978-3-319-49746-4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/220457
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