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Determinants of price level differences in Russian regions

Author

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  • Yuriy Perevyshin
  • Sergey Sinel’Nikov-Murylev
  • Pavel Trunin

Abstract

We examine the factors determining regional price differentiation in the Russian Federation. According to official statistics, the price of a fixed set of goods and services in different regions may currently differ more than two-fold. Employing panel data analysis for 2000–2015, we find differences in regional prices were caused by the following factors: the Balassa–Samuelson effect (differences in wages, regional economic structure, income structure); regional trade costs (distance of the region from other regions); and the level of monopolisation of retail trade. The results obtained in the article can be used in developing and implementing economic policy aimed at the reduction of poverty, in assessing the efficiency of transport and logistical projects, and also in developing and analysing the consequences of monetary policy. Taking into account price differences between regions can therefore improve accuracy in forecasting the consequences of measures of monetary policy.

Suggested Citation

  • Yuriy Perevyshin & Sergey Sinel’Nikov-Murylev & Pavel Trunin, 2019. "Determinants of price level differences in Russian regions," Post-Communist Economies, Taylor & Francis Journals, vol. 31(6), pages 772-789, November.
    • Handle: RePEc:taf:pocoec:v:31:y:2019:i:6:p:772-789
    DOI: 10.1080/14631377.2019.1578586
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    Cited by:

    1. Vadim Napalkov & Anna Novak & Andrey Shulgin, 2021. "Variations in the Effects of a Single Monetary Policy: The Case of Russian Regions," Russian Journal of Money and Finance, Bank of Russia, vol. 80(1), pages 3-45, March.
    2. Albina Nikolaevna Mayorova & Svetlana Viktoronva Panasenko & Alexander Fedorovich Nikishin & Gennady Gennadjevich Ivanov & Elena Aleksandrovna Mayorova, 2018. "Analyzing regional differences in the condition and development of trade in Russia," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(2), pages 927-938, December.
    3. Alyona Nelyubina, 2021. "Forecasting Regional Indicators Based on the Quarterly Projection Model," Russian Journal of Money and Finance, Bank of Russia, vol. 80(2), pages 50-75, June.

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