The Application of Classical and Neural Regression Models for the Valuation of Residential Real Estate

Mach Łukasz ()
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Mach Łukasz: Ph.D. Opole University of Technology Faculty of Economics and Management Department of Economics, Finances and Regional Research Luboszycka 7, 45-036 Opole, Poland

Folia Oeconomica Stetinensia, 2017, vol. 17, issue 1, 44-56

Abstract: The research process aimed at building regression models, which helps to valuate residential real estate, is presented in the following article. Two widely used computational tools i.e. the classical multiple regression and regression models of artificial neural networks were used in order to build models. An attempt to define the utilitarian usefulness of the above-mentioned tools and comparative analysis of them is the aim of the conducted research. Data used for conducting analyses refers to the secondary transactional residential real estate market.

Keywords: real estate; residential property; multiple regression; neural regression; valuation (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:foeste:v:17:y:2017:i:1:p:44-56:n:4

DOI: 10.1515/foli-2017-0004

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