Linear and Nonlinear Weighing of Property Features

Author:

Barańska Anna1

Affiliation:

1. Faculty of Mining Surveying and Environmental Engineering , AGH University of Science and Technology

Abstract

Abstract Determining the weights of market features of real estate in explaining their prices is one of the basic objectives of market analysis, performed as part of the property value estimation process. In practice, property appraisers usually settle for basic methods of determining weights, for example based on the principle of ceteris paribus or on the basis of linear correlation coefficients. The article proposes the use of curvilinear correlation coefficients for this purpose; an attempt of such use was made and the obtained results were compared with the weights determined on the basis of linear correlations. The conducted analyses proved that the inclusion of curvilinear correlations at the stage of market analysis, allows for extracting a greater number of features recognized as price-creating, i.e. leads to a smaller loss of market information and is a more reliable tool for determining the weights of attributes in price explanation.

Publisher

Walter de Gruyter GmbH

Reference18 articles.

1. Adamczewski Z., 2011, Elementy modelowania matematycznego w wycenie nieruchomości, Podejście porównawcze, (Elements of Mathematical Modelling in Real Estate Valuation, a Comparative Approach), Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa Publishing House of the Warsaw University of Technology, Warsaw).

2. Barańska A., 2010, Statystyczne metody analizy i weryfikacji proponowanych algorytmów wyceny nieruchomości, WYDAWNICTWA AGH, KRAKÓW (Statistical Methods for the Analysis and Verification of the Proposed Algorithms in Real Estate Appraisal Publications agh, krakow).

3. Bitner A., 2010, O użyteczności metod statystycznych w wycenie nieruchomości, Polska Akademia Nauk, Kraków, Komisja Technicznej Infrastruktury Wsi, nr 12 (On the Usefulness of Statistical Methods in Property Valuation. Polish Academy of Sciences, Krakow, Technical Committee of Rural Infrastructure).

4. Cellmer R., 2014, The Possibilities and Limitations of Geostatistical Methods in Real Estate Market Analyses, Real Estate Management and Valuation, Vol. 22, No. 3, pp. 54-62.10.2478/remav-2014-0027

5. Cellmer R., Szczepankowska K., 2015, Use of Statistical Models for Simulating Transactions on the Real Estate Market, Real Estate Management and Valuation, Vol. 23, No. 2, pp. 99-108.10.1515/remav-2015-0019

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