Different indexes for forecasting economic activity in Russia (in Russian)
Additional contact information
Oleg Demidov: Droege & Comp., Moscow, Russia
Quantile, 2008, issue 5, pages 83-102
This paper considers different ways of computing indexes for forecasting economic activity in Russia. The first is the methodology used by the Russian Development Centre based on the concept of "growth cycles". The second combines the dynamic principal components and dynamic factor analyses. The third approach is the NBER methodology based of diffusion indexes constructed using a dynamic factor model. This paper is an attempt to reveal strengths and weaknesses of the three methods in application to Russian data and to develop a better methodology for forecasting economic activity in Russia.
Keywords: index of economic activity; leading and coincident indicators; dynamic principal components; factor model; Russia (search for similar items in EconPapers)
JEL-codes: C32 E37 O11 (search for similar items in EconPapers)
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:qnt:quantl:y:2008:i:5:p:83-102
Access Statistics for this article
Quantile is currently edited by Stanislav Anatolyev
More articles in Quantile from Quantile
Series data maintained by Stanislav Anatolyev ().