| Autor: |
A. B. Dukhon, O. I. Obraztsova, N. D. Epshtein |
| Jazyk: |
ruština |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Статистика и экономика, Vol 18, Iss 6, Pp 60-72 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2500-3925 |
| DOI: |
10.21686/2500-3925-2021-6-60-72 |
| Popis: |
Purpose of the study. Development, justification and testing of a methodology for improving statistical monitoring of average prices in the Russian housing market, based on the use of registration information of the Unified State Register of Real Estate (USRN) on transactions for the purchase of residential real estate, in accordance with international statistical standards for Residential Property Price statistics.Materials and methods. The theoretical basis of the study was the United Nations system of national accounts (version of 2008), including the European system of accounts as amended in 2010. The research methodological base was made up of official statistical sources: metadata and international statistics guidelines in the field of national accounting, Handbook on Residential Property Price Indices and related housing indicators, as well as methodological provisions and an album of Rosstat forms, and methodological materials of the administrative statistics of the Federal Service for State Registration, Cadastre and Cartography of the Russian Federation (Rosreestr). The depersonalized registration data on households’ market transactions of the Unified State Register of Property Rights and Transactions maintaining by Rosreestr were used as an information database of the research.Results. The main result of the study is the design and substantiation of a system of indicators for the construction of an integrated information source for Residential Property Price statistics, on the base on interdepartmental information interaction.Conclusion. The proposed system of indicators will provide a highquality database that could be used in order to construct constant quality House Prices for various types of homogeneous residential property in the housing market, complying with the concepts of international statistical standards. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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