EconPapers    
Economics at your fingertips  
 

Analysis and Forecast of Russian Housing Stock Based on New Data Sources

V. A. Salnikov () and O. M. Mikheeva
Additional contact information
V. A. Salnikov: National Institute of Economic Forecasting, Russian Academy of Sciences
O. M. Mikheeva: National Institute of Economic Forecasting, Russian Academy of Sciences

Studies on Russian Economic Development, 2019, vol. 30, issue 4, 442-450

Abstract: Abstract— The article offers approaches to assess the age distribution of housing stock and develop scenario-based forecasting for housing stock changes in terms of volume and quality characteristics based on fundamentally new high granularity data (multifamily residential database, My Building). The approach allows for a refined assessment of the current condition of the state of the housing stock at the national and subject levels of the Russian Federation. Based on the estimated forecast for housing stock decommissioning and specified value of target housing per capita parameter, we assessed the need for new housing construction volume. The results can be used to work out a development strategy in the housing sphere.

Date: 2019
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1134/S1075700719040129 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sorede:v:30:y:2019:i:4:d:10.1134_s1075700719040129

Ordering information: This journal article can be ordered from
https://www.springer ... nomics/journal/11507

Access Statistics for this article

Studies on Russian Economic Development is currently edited by Viktor V. Ivanter, Dmitrii B. Kuvalin and Galina A. Yaremenko

More articles in Studies on Russian Economic Development from Springer
Bibliographic data for series maintained by Sonal Shukla ().

 
Page updated 2019-11-06
Handle: RePEc:spr:sorede:v:30:y:2019:i:4:d:10.1134_s1075700719040129