Forecast of Russian Personal Consumption Expenditures as Function of Income Distribution and Relative Prices

V. V. Potapenko () and A. A. Shirov
Additional contact information
V. V. Potapenko: Institute of Economic Forecasting, Russian Academy of Sciences
A. A. Shirov: Institute of Economic Forecasting, Russian Academy of Sciences

Studies on Russian Economic Development, 2021, vol. 32, issue 1, 1-10

Abstract: Abstract— The article considers an approach to modeling and forecasting personal consumption expenditures for Russia. This approach requires modeling income distribution by Lorenz curve and estimation demand system’s equations. The estimated system is “Perhaps Adequate Demand System” (PADS). The result of this approach’s application is a forecast of personal consumption expenditures in constant prices per capita for goods and services in COICOP classification.

Keywords: personal consumption expenditures; structure of expenditures; income distribution; Lorenz curve; PADS; economic forecasting (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1134/S1075700721010111 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:32:y:2021:i:1:d:10.1134_s1075700721010111

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

DOI: 10.1134/S1075700721010111

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 ().