Real estate valuation using sales comparison method and multiple regression analysis on the example of Russia

Автор: Besperstov V.

Журнал: Экономика и социум @ekonomika-socium

Рубрика: Основной раздел

Статья в выпуске: 3 (34), 2017 года.

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Valuation method using multiple regression analysis is widely used across the globe and is seldom used in Russia. The aim of present study is to find the advantages and disadvantages of using Multiple Regression Analysis (MRA) in valuation compared to the application of traditional approach of sales comparison. The procedure of application of MRA involves identifying and listing the factors that influence the value of a house. It is done through literature review of previous researches, published articles, questionnaire survey and interviews of experts in the field. From these attributes, critical house value influencing factors are chosen after thorough statistical analysis of questionnaire survey. In total, samples of fifty three valuation reports have been used & regression has been carried out. The advantage of using MRA method is that it can model the relationship between sale price of a house and housing attributes. MRA regresses each attribute to show how change in each attribute affects the house price. Results obtained from sales comparison method & multiple regression analysis show that, regression gives better accuracy & efficiency in predicting value of property as compared with the traditional approach.

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Real estate, property valuation, sales comparison method, multiple regression analysis

Короткий адрес: https://sciup.org/140122950

IDR: 140122950

Список литературы Real estate valuation using sales comparison method and multiple regression analysis on the example of Russia

  • Трегуб И.В., Хацукова.Л. Проверка применимости модели для прогнозирования экономических показателей//Экономика и социум. 2014. № 4-4 (13). С. 1345-1349.
  • Larry G.Perry "Main variables influencing residential property values using the Entropy Method"-the case of Auckland, School of the Built Environment, UTS, Sydney (2007).
  • Stevan Marosan, "A study between multiple regression analysis and traditional method of valuation (rating) case study: local authority", (2012) Department of estate management, University of Maryland.
  • John D. Benjamin, Randall S. Guttery and C.F. Sirmans "Mass Appraisal: An Introduction to Multiple Regression Analysis for Real Estate Valuation" Journal of Real Estate Practice and EducationVol.7, No.1, (2004).
  • Sibel Selim, "Determinants of house prices in Europe: A hedonic regression model" Dogus University Dergisi, 9 (1) 2008, 65-76.
  • Anuar Alias, Noor Hana, Asyikin Nor Hanapi "Comparison Method-Preference Of Adjustment Techniques Among Valuers" research paper of centre for Studies of Urbanand Regional Real Estate (SURE) University of Toronto.
  • Hans R. Isakson "The linear algebra of the sales comparison approach" Journal of real estate research (JRER) Vol.24, No.2-2002.
  • Branko Bonzic, Dragana Miilicevic, Marko Pejic "The use of multiple linear regression in property valuation" GeonaukaVol.1,No.1(2013).
  • Alan S. Levitan, and Jian Guan, "A comparison of regression and Artificial intelligence methods in a Mass appraisal context", Journal of real estate research (JRER),(2011),Vol.33,No.3.
  • Timothy P.Cronan "Analysis of the Mass Appraisal Model by Using Artificial Neural Network in London City" Journal of Modern Accounting and Auditing, Vol.7, No.10, 1080-1089, (2011).
  • Donald P. Epley "Ranking comparable properties prior to their use in regression on small sample" The appraisal journal, (January-1986): 57-65.
  • Maurizio Damato "A comparison between MRAAND rough set theory for mass appraisal. A case in Milan", International Journal of Strategic Property Management, 8:4,205-217. (2004).
  • Musili Kioko Joseph, "Real estate valuation based on hedonic price model: Case study of residential housing in Tokyo", University of Tokyo, department of real estate and construction management, School of built environment (2010).
  • McCluskey, W.J.,Deddis, W.G.,Lamont, I.G.,&Borst, R.A, "The application of surface generated interpolation models for the prediction of residential property values". Journal of Property Investment & Finance, (2000), 18 (2), 162-176.
  • G.Stacy Sirmans, Lynn MacDonald, David A.Macpherson and Emily Norman Zietz, "The value of housing characteristics: a meta analysis", American Real Estate and Urban Economics Association (2005).
  • Joslin,A. "An investigation into the expression of uncertainty in property valuation". Journal of Property Investment & Finance, (2005), 23(3), 269-285.
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