Estimation of the production function with the variable utilization of capital assets in the Russian economy

V. M. Gil’mundinov ()
Additional contact information
V. M. Gil’mundinov: Russian Academy of Sciences

Studies on Russian Economic Development, 2017, vol. 28, issue 4, 384-390

Abstract: Abstract The paper considers the problem of estimating aggregate production functions taking into account the variable utilization rate of the capital assets that act as an unobservable variable for the macro and meso levels. The proposed approach is based on the microeconomic foundations of the producer’s behavior with the appropriate modification of the problem on optimizing the volumes of production inputs and outputs. Parameter estimates have been given for the Cobb–Douglas-type production function and the performance of the utilization rate of the capital assets in Russian economy over 2002–2014. The high statistical dependence of the performance of investment in fixed capital on changes in the utilization rate of the capital assets has been revealed.

Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1134/S1075700717040074 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:28:y:2017:i:4:d:10.1134_s1075700717040074

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

DOI: 10.1134/S1075700717040074

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 ().