Use of statistical methods of residential real estate market cost analysis for city land plots cadastral cost adjustment (by example of Novokuznetsk)

Information on the cost of land plots has a wide range of application and the practical importance of cadastral assessment is essential. It is necessary not only for the formation of an information basis of the city land use, but also for the development of strategy and long-term development plans of municipality, definition of economic assets taking into account their cost, definition of losses from the irrational use of land plots, for optimum and objective taxation, and other. Therefore all participants of land market are interested in determination of the cadastral cost of lands. However, and the modern technique of cadastral assessment of city lands approved at the federal level has shortcomings and is corrected. Remarks are discussed in the academic environment, by representatives of municipal authorities, land use planning organizations and private owners. Thus, data on the market cost of residential real estate are information source when carrying out mass cadastral assessment of land on all the territory of the Russian Federation. In the STATISTICA 6.1 program the method of dispersive analysis revealed a regularity that the offer price of residential real estate depends not only on the remoteness from the downtown, but also from the location of the area the so-called factor of ''district location'' which is understood as a statistically revealed dependence between the cost of residential real estate and preferences of the population concerning the choice of the administrative district for accommodation. The offered algorithm of taking note of the district location factor will promote specification of the valid cost of residential real estate approaching thereby the cadastral cost to the market one. The verification of the main preconditions underlying the method of dispersive analysis for each variable was dispersion charts on compliance of the law of distribution of variables to the normal law, Levene's test was carried out to be convinced of the uniformity of dispersions for the dependent price variable, charts of dispersion were constructed and studied and the conclusion is drawn that average and standard deviations practically do not correlate. Thus, the main conditions of applicability of dispersive analysis were satisfied and confirmed the reliability of the received results.

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