Oil dependency of the Russian economy: An econometric analysis
Andreas Benedictow,
Daniel Fjærtoft and
Ole Løfsnæs
Economic Modelling, 2013, vol. 32, issue C, 400-428
Abstract:
A macro econometric model of the Russian economy is tailored to analyze the effects of changes in the oil price and alternative fiscal policies. Model simulations indicate that the Russian economy is vulnerable to large fluctuations in the oil price, but we also find evidence of significant economic growth capabilities in the absence of oil price growth. A higher oil price not only leads to higher economic growth and savings in the sovereign wealth fund, but also induces a rupture in the Russian economy. Public spending and household spending increase while the traditional export industries suffer from real appreciation, in line with the Dutch disease hypothesis. We also show that alternative policies for spending of the petroleum income may have considerable consequences for economic growth, the degree of crowding out of traditional export industries and wealth accumulation in the fund.
Keywords: Russia; Macro econometric model; Oil price dependency; Fiscal and monetary policies; Dutch disease (search for similar items in EconPapers)
JEL-codes: C51 E17 E52 E63 Q43 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999313000667
Full text for ScienceDirect subscribers only
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:eee:ecmode:v:32:y:2013:i:c:p:400-428
DOI: 10.1016/j.econmod.2013.02.016
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().