Authors: Oxana Malakhovskaya; Alexey Minabutdinov
Addresses: Department of Theoretical Economics, Higher School of Economics, 20, Myasnitskaya str., Moscow, 101000, Russia ' Department of Mathematics, Higher School of Economics, 55-2, Sedova str., Saint-Petersburg, 193171, Russia
Abstract: This paper constructs a DSGE model for an economy with commodity exports. We estimate the model using Russian data, making a special focus on quantitative effects of commodity price dynamics. There is a widespread belief that economic activity in Russia crucially depends on oil prices, but quantitative estimates are scarce. We estimate an oil price effect on the Russian economy in a general equilibrium framework. Our setup is similar to those of Kollmann (2001) and Dam and Linaa (2005), but we extend their models by explicitly accounting for oil revenues. In addition to standard supply, demand, cost-push, and monetary policy shocks, we include the shock of commodity export revenues. The main objective of the paper is to identify the contribution of structural shocks to business cycle fluctuations in the Russian economy. We found that despite a strong impact on GDP from commodity export shocks, business cycles in Russia are mostly domestically based.
Keywords: commodity price shocks; Bayesian estimation; DSGE model; dynamic stochastic general equilibrium; Russia; business cycles; oil price effect; commodity prices; modelling; oil prices; national economy; oil revenues; supply shocks; demand shocks; cost-push shocks; monetary policy shocks; commodity export revenues; structural shocks; business cycle fluctuations.
International Journal of Computational Economics and Econometrics, 2014 Vol.4 No.1/2, pp.148 - 180
Received: 31 Jul 2013
Accepted: 27 Jan 2014
Published online: 08 Apr 2014 *