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Discovering the signs of Dutch disease in Russia

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  • Mironov, V.V.
  • Petronevich, A.V.

Abstract

​This paper examines the problem of Dutch disease in Russia during the oil boom of the 2000s, from both the theoretical and empirical points of view. Our analysis is based on the classical model of Dutch disease by Corden and Neary (1982). We examine the relationship between changes in the real effective exchange rate of the ruble and the evolution of the Russian economic structure during the period 2002 – 2013. We empirically test the main effects of Dutch disease, controlling for specific features of the Russian economy, namely the large role of state-owned organizations. We estimate the resource movement and spending effects as determined by the theoretical model and find the presence of several signs of Dutch disease: the negative impact of the real effective exchange rate on growth in the manufacturing sector, the growth of total income of workers, and the positive link between the real effective exchange rate and returns on capital in all three sectors. Although also predicted by the model and clearly observable, the shift of labor from manufacturing to services cannot be explained by ruble appreciation alone. Publication

Suggested Citation

  • Mironov, V.V. & Petronevich, A.V., 2015. "Discovering the signs of Dutch disease in Russia," BOFIT Discussion Papers 3/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    • Handle: RePEc:zbw:bofitp:bdp2015_003
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    References listed on IDEAS

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    More about this item

    Keywords

    Dutch disease; resource curse; real effective exchange rate; cointegration model; economic policy; Russia;
    All these keywords.

    JEL classification:

    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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