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The role of multivariate modeling in residential property valuation and consumer demand forecasting


Sirotkin V.A., Zhelenkova V.S., Kozhevnikova O.S., Chikurova A.M.
(about the authors)

Sirotkin Viktor Anatolevich – (The Ural Federal University named after the first President of Russia B. N. Yeltsin, Graduate School of Economics and Management)

Zhelenkova Veronika Sergeevna – (Ural Federal University named after the first President of Russia B.N.Yeltsin)

Kozhevnikova Olga Sergeevna – (The Ural Federal University named after the first President of Russia B. N. Yeltsin, Graduate School of Economics and Management)

Chikurova Anna Mikhaylovna – (Ural Federal University named after the first President of Russia B.N.Yeltsin)

Published in:
Russian Journal of Housing Research
– Volume 6, Number 3 (July-September 2019)

JEL classification: L74, R31, R32

Keywords: addiction, demand, economic-mathematical methods, factors, housing, housing fund, investments, model, municipality, statistical methods, supply


Citation:
Sirotkin V.A., Zhelenkova V.S., Kozhevnikova O.S., Chikurova A.M. (2019). The role of multivariate modeling in residential property valuation and consumer demand forecasting. Russian Journal of Housing Research, 6(3), 321-332. doi: 10.18334/zhs.6.3.40964


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Abstract:

The article assesses the existing trends in the residential real estate market. The factors which have the greatest impact on the cost of residential real estate are identified and systematized in the form of a matrix. Their justification with the help of economic and mathematical methods is made. The authors conclude that the use of economic-mathematical methods, the analysis of the real estate market will allow government agencies and development companies to make management decisions aimed at improving its accessibility taking into account the interests of the majority.







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