Search Results - STATISTICS FOR REAL ESTATE

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    Statistical assessment of balancing real estate market by Kovtun N., Shibirina S.

    “…In the article was developed the system of statistical indicators of the real estate market. The balance of the real estate market was evaluated at the levels of its operation.…”
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    Content and boundaries of the primary real estate market as an object of statistical research by Dmitry V. Dianov, Pavel A. Smelov

    Published in Статистика и экономика (2019-03-01)
    “…The development of statistical methodology for the study of the primary real estate market can be based only on a clear understanding of the nature and internal content of the studied object. …”
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    Formation of statistical indicators system to create objects of the primary real estate market by D. V. Dianov

    Published in Статистика и экономика (2020-03-01)
    “…The analytical value of the complex system of statistical indicators characterizing the creation of value in the primary real estate market is determined by the sensitivity of the entire socio-economic sphere to the object of study, since it is the population, that is, the end user of this element of national accumulation, feels it as a factor of living standards, welfare, material potential and even as the possibility of obtaining passive income in the form of property rent.The secondary market of residential real estate, where a huge share of cash savings of the population turns out, is partly inferior in its importance to the primary market. …”
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    Development of statistical classifications to study the content and structure of the primary real estate market by D. V. Dianov, P. A. Smelov

    Published in Статистика и экономика (2019-05-01)
    “…Statistical study of the primary real estate market is always associated with the problem that the object is in a constant, and very intense change, both in quantitative terms and in its internal content. …”
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    SPECIFIC FEATURESOF ECONOMIC-STATISTICAL ANALYSIS OF PRICE AND VALUE ONTHE REAL ESTATE MARKET OF MOSCOW by Yuliya V. Bazhdanova

    Published in Статистика и экономика (2016-08-01)
    “…The causes and factors that hinder the processing of statistical information are analyzed. The process of the price and value of residential real estate formation is described. …”
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    Real estate boom and crisis in the Canary Islands: Property dispossession and the resurgence of real estate by Juan Samuel García-Hernández, Mª del Carmen Díaz-Rodríguez, Luz Marina García-Herrera

    Published in Investigaciones Geográficas (2018-06-01)
    “…The Canary Islands is a special case of the accumulation model based on the financing of the built environment, which is responsible for considerable socio-spatial changes and numerous families losing their homes. The link between the real estate development, which started in the mid-1990s and the dispossession processes that have occurred since the crisis of 2007 is analysed on an island and intra-island scale; along with the recent real estate investment in the areas that have been the most affected by foreclosures. …”
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    Market of the residential real estate: trends and prospects by E. N. Klochkova, M. A. Tolstyakova

    Published in Статистика и экономика (2019-07-01)
    “…For the purpose of the solution of objectives the package of the IBM  SPSS Statistics application programs was used.Results. Results of the research allowed  to define the main trends of changing the cost of the residential  real estate in the Russian  Federation on primary and secondary markets  and to analyze  dynamics of  granting  mortgage  loans.  …”
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    RETSManager: Real-estate database builder and synchronizer by Issam Hammad, Kamal El-Sankary, Holly Hornibrook

    Published in SoftwareX (2019-07-01)
    “…This platform can be used to construct synchronized and up-to-date real-estate datasets for usage in research fields such as machine learning, image-based deep learning, and housing market statistical analysis. …”
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    The Use of Machine Learning in Real Estate Research by Lennon H. T. Choy, Winky K. O. Ho

    Published in Land (2023-03-01)
    “…This research seeks to demonstrate how machine learning, a branch of artificial intelligence, is able to deliver more accurate pricing predictions, using the real estate market as an example. Utilizing 24,936 housing transaction records, this paper employs Extra Trees (ET), <i>k</i>–Nearest Neighbors (KNN), and Random Forest (RF) to predict property prices and then compares their results with those of a hedonic price model. …”
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