Statistics of Industrial Production in Russia: Some Observations of Attentive Users

V. A. Sal’nikov () and D. I. Galimov
Additional contact information
V. A. Sal’nikov: Institute of Economic Forecasting
D. I. Galimov: Institute of Economic Forecasting
Authors registered in the RePEc Author Service: Vladimir Salnikov

Studies on Russian Economic Development, 2020, vol. 31, issue 1, 7-16

Abstract: Abstract The paper discusses the most important issues related to the calculation of the industrial production index in Russian statistics. The basic methodological principles of calculating this index and their application in the existing statistical reporting are described. Based on the analysis of a large array of data on the production of the most important types of industrial products, the authors define some of the main problems in the formation of industrial production indices, as well as their manifestation in the final results of official statistics, including in 2019. The priority orientations of work are also proposed to eliminate the identified problems.

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1134/S1075700720010128 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:31:y:2020:i:1:d:10.1134_s1075700720010128

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

DOI: 10.1134/S1075700720010128

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 () and Springer Nature Abstracting and Indexing ().