Email this article Attribute features application in specification of regression model of apartments cost
- Authors: Pashkovskaya O.V.1, Brening D.V.1
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Affiliations:
- Reshetnev Siberian State University of Science and Technology
- Issue: Vol 20, No 4 (2019)
- Pages: 443-450
- Section: Section 1. Computer Science, Computer Engineering and Management
- URL: https://journals.eco-vector.com/2712-8970/article/view/567899
- DOI: https://doi.org/10.31772/2587-6066-2019-20-4-443-450
- ID: 567899
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Abstract
In the study of statistical data with a pronounced endogenous variable, it is necessary to identify factors (explanatory variables) that have a strong impact on the result. In this, factors can be both quantitative and attributive. To assess influence of numerical features, regression analysis methods can be used. Influence of attributive features is not taken into account. However, often these are they who make the decisive contribution to variation of the result. It is necessary to develop methods for analyzing influence of attributive features and accounting for these features in regression models.
On the example of sets of apartments proposed for sale in the city of Krasnoyarsk, a new method is used to assess influence of attributive features on the quantitative using ranking them in accordance with their influence on the endogenous variable. Method of fictitious variables is used to analyze the attribute features. Each attribute with m values is assigned (m-1) dummy variables and a regression model is constructed. Influence of exogenous variables can be expressed using standardized regression coefficients. In this case, influence of attributes can be estimated by cumulative correlation coefficient calculated on the basis of a regression model with fictitious variables.
For further research, set is proposed to rank, assigning each element a "rank" – value of a standardized coefficient which reflects closeness of the relationship with the endogenous variable. Thus, all features have a numerical value. A standardized regression model is constructed.
Proposed approach can be used in the analysis of statistical aggregates, units of which are characterized by quantitative and attributive features.
About the authors
Olga V. Pashkovskaya
Reshetnev Siberian State University of Science and Technology
Author for correspondence.
Email: pashkovskaya@sibsau.ru
Cand. Sc., Docent, Department of Information Economic Systems
Russian Federation, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037Darya V. Brening
Reshetnev Siberian State University of Science and Technology
Email: brening98@gmail.com
student
Russian Federation, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037References
- Brening D. V., Pashkovskaya O. V., Senashov S. I., Savostyanova I. L. [Mathematical modeling of the cost of secondary housing in the city of krasnoyarsk in 2017]. Sibirskiy zhurnal nauki i tekhnologiy. 2018, Vol. 19, No. 4, P. 581–588 (In Russ.).
- Senashov S. I., Yuferova N. Yu., Vaytekunene E. L. Ekonometricheskoe modelirovanie stoimosti zhil’ya v Krasnoyarske [Econometric modelling of residential property cost in Krasnoyarsk]. Krasnoyarsk, SibGAU Publ., 2015, 178 p. (In Russ.).
- Pashkovskaya O. V., Senashov S. I., Savostyanova I. L., Yuferova N. Yu. [Modeling the cost of housing on the secondary real estate market in the city of Krasnoyarsk in 2016]. Sibirskiy zhurnal nauki i tekhnologiy. 2017, No. 4 (18), P. 788–796 (In Russ.).
- Senashov S. I. et al. [Actual modeling of real estate in Krasnoyarsk]. Vestik SibGAU. 2013, No. 2 (48), P. 86–91 (In Russ.).
- Senashov S. I., Yuferova N. Yu., Groshak E. V. Modelirovaniye stoimosti zhil'ya v g. Krasnoyarske [Simulation of the cost of residential property in the city of Krasnoyarsk]. Krasnoyarsk, SibGTU Publ., 2007, 204 p.
- Senashov S. I., Juferova N. Yu., Surnina E. V. [Information system of valuation of apartments on the secondary market as a tool for investment management]. Vestnik SibGAU. 2009, No. 4 (25), P. 219–223 (In Russ.).
- Senashov S. I. et al. [Cost estimation of information system of apartments at secondary housing markets as a management investment tool]. Vestnik SibGAU. 2009, No. 5, P. 154–157 (In Russ.).
- Denisenko I. K., Senashov S. I., Juferova N. Yu. [Modeling the cost of housing in Krasnoyarsk] Vestnik Sib. gos. tehnologich. un-ta. 2000, No. 1, P. 185–190 In Russ.).
- Senashov S. I., Savostyanova I. L., Yuzaeva A. G., Savchenko L. M. [Simulation of the cost of residential properties in Krasnoyarsk for 2013-2014]. Vestnik SibGAU. 2016, Vol. 17, No. 3, P. 830–836 (In Russ.).
- Senashov S. I., Surnina E. V., Puzanova G. A., Filyushina E. V. [Methods of valuation of land]. Reshetnevskie chteniya. 2009, Vol. 2, No. 13, P. 549–650 (In Russ.).
- Surnina E. V., Senashov S. I. [The use of GIS technology for estimation of cost of apartments]. Aktualnye problemy aviatsii i kosmonavtiki. 2010, Vol. 1, No. 6, P. 444–445 (In Russ.).
- Senashov S. I., Savostyanova L. I. [Econometric modeling of the cost of housing]. Lesnoy i khimicheskiy kompleksy – problemy i resheniya. 2016, Vol. 2, P. 235– 236 (In Russ.).
- Savchenko L. M., Yusaeva A. G., Senashov S. I. [Modeling the cost of housing in the city of Krasnoyarsk in 2013]. Prospekt Svobodnyy-2016. 2016, P. 67–70 (In Russ.).
- Rusakova A. A., StarodubtsevA. A., Senashov S. I. [Modeling the cost of housing in the Central district of Krasnoyarsk]. Aktualnye problemy aviatsii i kosmonavtiki. 2017, Vol. 2, P. 398–401 (In Russ.).
- Brening D. V., Savostyanova I. L., Kvartiry Krasnoyarska 2017. Rynok pervichnogo zhil'ya [Flats of Krasnoyarsk 2017. Primary real estate market]. Svidetel’stvo o gosudarstvennoy registratsii bazy dannykh № 20186621065.
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