It is of important economic interest to understand the market for sales of residential properties. Customary analysis focuses on explaining selling price using property and neighborhood characteristics, so-called hedonic models. Here, our interest is in understanding the locations of the sales. The set of such locations forms a space-time point pattern. With interest in comparing different types of property sales, we obtain marked space-time point patterns according to the size of property. We focus on sales in the city of Zaragoza in Spain during a 10 year period. We employ nonhomogeneous Poisson process models as well as log Gaussian Cox process models, fitted within a Bayesian ramework, with investigation of model adequacy and model comparison.

Paci, L., Gelfand, A. E., Beamonte, M. A., Gargallo, P., Salvador, M., Bayesian modeling of spatio-temporal point patterns in residential property sales, in Proceedings of the 48th scientific meeting of the Italian Statistical Society, (Salerno, 08-10 June 2016), NA, NA 2016: 1-6 [http://hdl.handle.net/10807/98626]

Bayesian modeling of spatio-temporal point patterns in residential property sales

Paci
Primo
;
2016

Abstract

It is of important economic interest to understand the market for sales of residential properties. Customary analysis focuses on explaining selling price using property and neighborhood characteristics, so-called hedonic models. Here, our interest is in understanding the locations of the sales. The set of such locations forms a space-time point pattern. With interest in comparing different types of property sales, we obtain marked space-time point patterns according to the size of property. We focus on sales in the city of Zaragoza in Spain during a 10 year period. We employ nonhomogeneous Poisson process models as well as log Gaussian Cox process models, fitted within a Bayesian ramework, with investigation of model adequacy and model comparison.
Inglese
Proceedings of the 48th scientific meeting of the Italian Statistical Society
48 scientific meeting of the Italian Statistical Society
Salerno
8-giu-2016
10-giu-2016
9788861970618
NA
Paci, L., Gelfand, A. E., Beamonte, M. A., Gargallo, P., Salvador, M., Bayesian modeling of spatio-temporal point patterns in residential property sales, in Proceedings of the 48th scientific meeting of the Italian Statistical Society, (Salerno, 08-10 June 2016), NA, NA 2016: 1-6 [http://hdl.handle.net/10807/98626]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/98626
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