scholarly journals COMMERCIAL PROPERTY PRICE INDEXES AND THE SYSTEM OF NATIONAL ACCOUNTS

2015 ◽  
Vol 30 (5) ◽  
pp. 913-943 ◽  
Author(s):  
W. Erwin Diewert ◽  
Kevin J. Fox ◽  
Chihiro Shimizu
Keyword(s):  
National Accounts ◽  
Commercial Property ◽  
System Of National Accounts ◽  
Price Indexes ◽  
Property Price

scholarly journals Information Opportunities of Administrative Data on Residential Real Estate Transactions for Calculating the House Prices in Russia’s Housing Market

2021 ◽  
Vol 18 (6) ◽  
pp. 60-72
Author(s):  
A. B. Dukhon ◽  
O. I. Obraztsova ◽  
N. D. Epshtein
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
House Prices ◽  
Information Source ◽  
Residential Property ◽  
National Accounts ◽  
System Of National Accounts ◽  
Registration Data ◽  
State Register ◽  
Property Price

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.

scholarly journals Estimating quality adjusted commercial property price indexes using Japanese REIT data

2015 ◽  
Vol 32 (3) ◽  
pp. 217-239 ◽  
Author(s):  
Chihiro Shimizu ◽  
W. Erwin Diewert ◽  
Kiyohiko G. Nishimura ◽  
Tsutomu Watanabe
Keyword(s):  
Commercial Property ◽  
Price Indexes ◽  
Property Price

scholarly journals Measuring Economic Welfare

Policy Papers ◽  
2020 ◽  
Vol 20 (028) ◽  
Author(s):  
Marshall Reinsdorf
Keyword(s):  
Economic Performance ◽  
Well Being ◽  
Welfare Effects ◽  
Economic Welfare ◽  
National Accounts ◽  
System Of National Accounts ◽  
Online Platforms ◽  
Price Indexes ◽  
Data Gaps

Calls for a more people-focused approach to statistics on economic performance, and concerns about inequality, environmental impacts, and effects of digitalization have put welfare at the top of the measurement agenda. This paper argues that economic welfare is a narrower concept than well-being. The new focus implies a need to prioritize filling data gaps involving the economic welfare indicators of the System of National Accounts 2008 (SNA) and improving their quality, including the quality of the consumption price indexes. Development of distributional indicators of income, consumption, and wealth should also be a priority. Definitions and assumptions can have big effects on these indicators and should be documented. Concerns have also arisen over potentially overlooked welfare growth from the emergence of the digital economy. However, the concern that free online platforms are missing from nominal GDP is incorrect. Also, many of the welfare effects of digitalization require complementary indicators, either because they are conceptually outside the boundary of GDP or impossible to quantify without making uncertain assumptions.

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