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

V. A. Salnikov () and O. M. Mikheeva
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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
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