The cadastral value as a tool for monitoring the real estate market value

Authors

DOI:

https://doi.org/10.21638/spbu05.2021.104

Abstract

In the theory and practice of real estate valuation, in analytical studies of the dynamics of real estate markets there is a problem of tracking changes in market prices. The apparent simplicity of this task leads to the fact that in everyday practice both market participants and professional analysts are satisfied with observations of average prices. The advantage of this traditional approach is computational simplicity. However, in the conditions of presence of a large number of special software and extensive statistical material can be used more complex research methods. The purpose of this article is to research big current market data of real estate objects and compare these data with the cadastral value determined in accordance with Russian legislation as the market value at the specified date. In this regard, there are problems associated with the multidimensional distribution of market prices and cadastral values. The article presents the method of calculation of changes of the real estate market prices on the basis of comparison of two-dimensional prices distributions of offers and cadastral prices for two periods. The main problem in studying the dynamics of real estate market prices is the inability to track the change in market prices for each property, as objects are constantly put up for sale and removed from it. The work carried out in the Russian Federation in 2014 to
establish the cadastral value of real estate opens opportunity to analyze two-dimensional distributions of current market and cadastral prices and to assess the dynamic characteristics of the market for any real estate objects. The main result of article is the method which allows to apprise the market value of real estate in real time when new market data come by their comparison with the previously established cadastral value. Cadastral value is assumed to be defined as market value at the valuation date.

Keywords:

real estate market value, cadastral value, two-dimensional logarithmically normal distribution, multidimensional statistical analysis in real estate appraisal

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References

Литература

Бюллетень недвижимости Санкт-Петербурга. № 1758, 08.12.2016 г.

Бюллетень недвижимости Санкт-Петербурга. № 1809, 11.12.2017 г.

Ласкин М. Б., Гадасина Л. В. (2018) Как определить кадастровую стоимость. Имущественные отношения в Российской Федерации. № 3 (198). С. 42–53.

Максимов С. Н. (2018) Конфликт интересов при реновации городских территорий. Недвижимость,экономика, управление. № 4. С. 75–78.

Максимов С. Н., Бачуринская И. А. (2013) Инвестиционная привлекательность рынка недвижимости России в условиях глобализации. Вестник ИНЖЭКОНа. Серия Экономика. № 7 (66). С. 4–11.

Никулина Т. В., Пономарева О. А., Пупенцова С. В. (2015) Логарифмически нормальное распределение цен на объекты недвижимости элитного и эконом класса. В сборнике: СПбПУ, материалы научного форума с международным участием. Инженерно-экономический институт. Санкт-Петербургский политехнический университет Петра Великого, Инженерно-экономический институт. С. 435–437.

Озеров Е. С., Пупенцова С. В. (2015) Управление стоимостью и инвестиционным потенциалом недвижимости. СПб.: Изд-во Политехн. университета. 602 с.

Русаков О. В., Ласкин М. Б., Джаксумбаева О. И. (2016а) Определение коэффициента капитализации по статистическим данным. Экономика, Статистика и Информатика. Вестник УМО МЭСИ.№ 1. С. 14–22.

Русаков О. В., Ласкин М. Б., Джаксумбаева О. И. (2016b) Оценка показателей рынка недвижимости по статистическим данным на основе многомерного логарифмически нормального закона.Экономический журнал Высшей школы экономики. № 2. С. 268–284.

Сейс С., Смит С., Купер Р., Венмор-Роуланд П. (2009) Оценка недвижимого имущества: от стоимости к ценности. М.: Общероссийская общественная организация «Российское общество оценщиков». 504 c.

Aitchinson J., Brown J. A. C. (1963) The Lognormal distribution with special references to its uses in economics.Cambridge, Cambridge University Press. 176 p.

Anselin L., Lozano-Gracia N. (2008) Errors in variables and spatial effects in hedonic house price models of ambient air quality. Empirical Economics, vol. 34, iss. 1, pp. 5–34.

Antipov E. A., Pokryshevskaya E. P. (2012) Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics. Expert Systems with Applications, vol. 39, pp. 1772–1778.

Benson E. D., Hansen J. L., Schwartz Jr. A. L., Smersh G. T. (1998) Pricing Residential Amenities: The Value of a View. The Journal of Real Estate Finance and Economics, vol. 16, iss. 1, pp. 55–73.

Brunnermeier M. K. (2009) Bubbles. In The New Palgrave Dictionary of Economics. 2nd ed. Eds L. E. Blumeand, S. N. Durlauf. New York, Palgrave Macmillan.

Case B., Quigley J. M. (1991) The dynamics of real estate prices. The Review of Economics and Statistics,vol. 73, iss. 1, pp. 50–58.

Case K., Shiller R. (1987) Prices of single-family homes since 1970: new indexes for four cities. New England Economic Review, iss. September, pp. 45–56.

Ciurlia P., Gheno A. A. (2009) A model for pricing real estate derivatives with stochastic interest rates. Mathematical and Computer Modelling, vol. 50, iss. 1–2, pp. 233 247.

Debrezion G., Pels E., Rietveld P. (2011) The impact of rail transport on real estate prices: an empirical analysis of the Dutch housing market. Urban Stud, vol. 48 (5), pp. 997–1015.

Englund P., Quigley J., Redfearn C. (1998) Improved price indexes for real estate: Measuring the course of Swedish housing prices. Journal of Urban Economics, vol. 44, iss. 2, pp. 171–196.

Epley D. (2016) Assumptions and restrictions on the use of repeat sales to estimate residential price appreciation. Journal of Real Estate Literature, vol. 24, iss. 2, pp. 275–286.

Fabozzi F. J., Xiao K. (2019) The Timeline Estimation of Bubbles: The Case of Real Estate. Real Estate Economics, vol. 47, iss. 2, pp. 564–594.

Fernandez-Kranz D., Hon M. (2006) A cross-section analysis of the income elasticity of housing demand in Spain: Is there a real estate bubble? Journal of Real Estate Finance and Economics, vol. 32, no. 4,pp. 449–470.

Jim C. Y., Chen W. Y. (2006) Impacts of urban environmental elements on residential housing prices in Guangzhou (China). Landscape and Urban Planning, vol. 78, iss. 4, pp. 422–434.

Jones C. (2010) House price measurement: The hybrid hedonic repeat-sales method. The Economic Record,vol. 86, iss. 272, pp. 95–97.

Kontrimas V., Verikas A. (2011) The mass appraisal of the real estate by computational intelligence. Applied Soft Computing, vol. 11, pp. 443–448.

Korkmaz S., Goksuluk D., Zararsiz G. (2014) MVN: An R Package for Assessing Multivariate Normality. The R Journal, vol. 6/2, pp. 151–162.

Malpezzi S. (2002) Hedonic pricing models: A selective and applied review. Housing economics and public policy: Essays in honor of Duncan Maclennan. Oxford, UK, Blackwell Science, pp. 67–89.

Ohnishi T., Mizuno T., Shimizu C., Watanabe T. (2011) On the Evolution of the House Price Distribution.Columbia Business School. Center of Japanese Economy and Business, Working Paper Series, no. 296,pp. 1–20.

Park B., Bae J. K. (2015) Using machine learning algorithms for housing price prediction: The case of Fairfax County. Expert Systems with Applications, vol. 42, pp. 2928–2934.

Peterson S., Flanagan A. B. (2009) Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal.Journal of Real Estate Research, vol. 31, iss. 2, pp. 147–164.

Phillips P. C. B., Shi S.‐P., Yu J. (2015a) Testing for Multiple Bubbles: Historical Episodes of Exuberance.International Economic Review, vol. 56, iss. 4, pp. 1043–1078.

Phillips P. C. B., Shi S.‐P., Yu J. (2015b) Testing for Multiple Bubbles: Limit Theory of Real Time Detectors.International Economic Review, vol. 56, iss. 4, pp. 1079–1134.

Wena H., Zhanga Y., Zhang L. (2015) Assessing amenity effects of urban landscapes on housing price in Hangzhou, China. Urban Forestry & Urban Greening, vol. 14, pp. 1017–1026.

Wang F., Zheng X. (2018) The comparison of the hedonic, repeat sales, and hybrid models: Evidence from the Chinese paintings. Cogent Economics & Finance, vol. 6, iss. 2, pp. 1–19.

References

Aitchinson J., Brown J. A. C. (1963) The Lognormal distribution with special references to its uses in economics.Cambridge, Cambridge University Press. 176 p.

Anselin L., Lozano-Gracia N. (2008) Errors in variables and spatial effects in hedonic house price models of ambient air quality. Empirical Economics, vol. 34, iss. 1, pp. 5–34.

Antipov E. A., Pokryshevskaya E. P. (2012) Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics. Expert Systems with Applications, vol. 39, pp. 1772–1778.

Benson E. D., Hansen J. L., Schwartz Jr. A. L., Smersh G. T. (1998) Pricing Residential Amenities: The Value of a View. The Journal of Real Estate Finance and Economics, vol. 16, iss. 1, pp. 55–73.

Brunnermeier M. K. (2009) Bubbles. In The New Palgrave Dictionary of Economics. 2nd ed. Eds L. E. Blumeand,S. N. Durlauf. New York, Palgrave Macmillan.

Bulletin of St. Petersburg real estate, no. 1758, 08.12.2016. (In Russian)

Bulletin of St. Petersburg real estate, no. 1809, 11.12.2017. (In Russian)

Case B., Quigley J. M. (1991) The dynamics of real estate prices. The Review of Economics and Statistics,vol. 73, iss. 1, pp. 50–58.

Case K., Shiller R. (1987) Prices of single-family homes since 1970: new indexes for four cities. New England Economic Review, iss. September, pp. 45–56.

Ciurlia P., Gheno A. A. (2009) A model for pricing real estate derivatives with stochastic interest rates. Mathematical and Computer Modelling, vol. 50, iss. 1–2, pp. 233–247.

Debrezion G., Pels E., Rietveld P. (2011) The impact of rail transport on real estate prices: an empirical analysis of the Dutch housing market. Urban Stud, vol. 48, iss. 5, pp. 997–1015.

Englund P., Quigley J., Redfearn C. (1998) Improved price indexes for real estate: Measuring the course of Swedish housing prices. Journal of Urban Economics, vol. 44, iss. 2, pp. 171-196.

Epley D. (2016) Assumptions and restrictions on the use of repeat sales to estimate residential price appreciation. Journal of Real Estate Literature, vol. 24, iss. 2, pp. 275–286.

Fabozzi F. J., Xiao K. (2019) The Timeline Estimation of Bubbles: The Case of Real Estate. Real Estate Economics, vol. 47, iss. 2, pp. 564–594.

Fernandez-Kranz D., Hon M. (2006) A cross-section analysis of the income elasticity of housing demand in Spain: Is there a real estate bubble? Journal of Real Estate Finance and Economics, vol. 32, no. 4,pp. 449–470.

Jim C. Y., Chen W. Y. (2006) Impacts of urban environmental elements on residential housing prices in Guangzhou (China). Landscape and Urban Planning, vol. 78, iss. 4, pp. 422–434.

Jones C. (2010) House price measurement: The hybrid hedonic repeat-sales method. The Economic Record,vol. 86, iss. 272, pp. 95–97.

Kontrimas V., Verikas A. (2011) The mass appraisal of the real estate by computational intelligence. Applied Soft Computing, vol. 11, pp. 443–448.

Korkmaz S., Goksuluk D., Zararsiz G. (2014) MVN: An R Package for Assessing Multivariate Normality. The R Journal, vol. 6/2, pp. 151–162.

Laskin M., Gadasina L. (2018) How to estimate the cadastral value. Property Relations in the Russian Federation, vol. 3 (198), pp. 42–53. (In Russian)

Malpezzi S. (2002) Hedonic pricing models: A selective and applied review. Housing economics and public policy: Essays in honor of Duncan Maclennan. Oxford, UK, Blackwell Science, pp. 67–89.

Maksimov S. N. (2018) Renovation of urban areas: how to resolve the conflict of common and private interests? Real estate: economics, management, no. 4, pp. 75–78. (In Russian)

Maksimov S. N., Bachurinskaya I. A. (2013) Investment attractiveness of the Russian real estate market in the context of globalization. Bulletin of St. Petersburg State University of Economics. Series: Ekonomika,vol. 7 (66), pp. 4–11. (In Russian)

Nikulina T. V., Ponomareva O. A., Pupentsova S. V. (2015) Lognormal distribution of prices for real estate luxury and economy class. In: SPbPU science week proceedings of the scientific forum with international participation. Engineering and economic Institute. Peter the Great St. Petersburg Polytechnic University, Institute of Engineering and Economics, pp. 435–437. (In Russian)

Ohnishi T., Mizuno T., Shimizu C., Watanabe T. (2011) On the Evolution of the House Price Distribution. Columbia Business School. Center of Japanese Economy and Business, Working Paper Series, no. 296, pp. 1–20.

Ozerov E. S., Pupentsova S. V. (2015) Value Management and investment potential of real estate. St. Petersburg,Polytechnic University Press. 602 p. (In Russian)

Park B., Bae J. K. (2015) Using machine learning algorithms for housing price prediction: The case of Fairfax County. Expert Systems with Applications, vol. 42, pp. 2928–2934.

Peterson S., Flanagan A. B. (2009) Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal.Journal of Real Estate Research, vol. 31, iss. 2, pp. 147 164.

Phillips P. C. B., Shi S.‐P., Yu J. (2015a) Testing for Multiple Bubbles: Historical Episodes of Exuberance.International Economic Review, vol. 56, iss. 4, pp. 1043 1078.

Phillips P. C. B., Shi S.‐P., Yu J. (2015b) Testing for Multiple Bubbles: Limit Theory of Real Time Detectors.International Economic Review, vol. 56, iss. 4, pp. 1079 1134.

Rusakov O., Laskin M., Jaksumbaeva O. (2016a) Determination of coefficient of capitalization from statistical data. UMO Bulletin, no. 1, pp. 14–22. (In Russian)

Rusakov O., Laskin M., Jaksumbaeva O. (2016b) Estimation of the real estate market indexes according to statistical data and based on multidimensional log normal distribution. The HSE Economic Journal,no. 2, pp. 268–284. (In Russian)

Sayce S., Smith J., Cooper R., Venmore-Rowland P. (2009) Real Estate Appraisal: From Value to Worth.Mosсow, All-Russian public organization “Russian Society of Appraisers” Publ. 504 p. (In Russian)

Wena H., Zhanga Y., Zhang L. (2015) Assessing amenity effects of urban landscapes on housing price in Hangzhou, China. Urban Forestry & Urban Greening, vol. 14, pp. 1017–1026.

Wang F., Zheng X. (2018) The comparison of the hedonic, repeat sales, and hybrid models: Evidence from the Chinese paintings. Cogent Economics & Finance, vol. 6, iss. 2, pp. 1–19.

Published

2021-06-11

How to Cite

Gadasina, L., Laskin, M., & Zaytseva, E. (2021). The cadastral value as a tool for monitoring the real estate market value. St Petersburg University Journal of Economic Studies, 37(1), 84–108. https://doi.org/10.21638/spbu05.2021.104

Issue

Section

Mathematical and instrumental methods of economics