IDEAS home Printed from https://ideas.repec.org/a/nos/voprec/y2019id2398.html
   My bibliography  Save this article

Regional effects of inflation targeting in Russia: Factors of heterogeneity and structural inflation rates

Author

Listed:
  • Michael I. Zhemkov

Abstract

Inflation targeting in Russia implies maintaining stable low inflation at a level of 4% throughout the country. The presence of structural factors in some regions can determine deviations from the all-Russian inflation, which can lead to different effects of monetary policy in Russian regions. In this paper, we analyze regional heterogeneity of inflation and factors of inflation deviations from the national average, estimate structural levels of inflation in the regions of Russian Federation. These estimates confirm the presence of some regional factors of inflation deviations from the all-Russian indicator, such as the difference in productivity growth of the tradable and non-tradable sectors (Balassa—Samuelson effect), effective exchange rates, real incomes and product stocks. In addition, our results confirm the presence of regions with price growth rate above and below monetary policy target. The results of this research can be used for the development of monetary and communication policies.

Suggested Citation

  • Michael I. Zhemkov, 2019. "Regional effects of inflation targeting in Russia: Factors of heterogeneity and structural inflation rates," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 9.
    • Handle: RePEc:nos:voprec:y:2019:id:2398
    DOI: 10.32609/0042-8736-2019-9-70-89
    as

    Download full text from publisher

    File URL: https://www.vopreco.ru/jour/article/viewFile/2398/2205
    Download Restriction: no
    File URL: https://libkey.io/10.32609/0042-8736-2019-9-70-89?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Victoria P. Litvinets, 2023. "Inflation Targeting and Economic Growth in Developed and Developing Countries: Evaluation of the Policy Effectiveness Using CS-ARDL Approach," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(4), pages 814-833.
    2. Aleksandr Eliseev & Anna Novak & Andrey Shulgin, 2023. "Long-Term Exchange Rate Pass-Through to Prices," Russian Journal of Money and Finance, Bank of Russia, vol. 82(2), pages 21-51, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nos:voprec:y:2019:id:2398. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: NEICON (email available below). General contact details of provider: https://www.vopreco.ru .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.