IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/169-ec-2017.html
   My bibliography  Save this paper

Indices of Regional Economic Activity for Russia

Author

Listed:
  • Sergey V. Smirnov

    (National Research University Higher School of Economics)

  • Nikolay V. Kondrashov

    (National Research University Higher School of Economics)

Abstract

Regional statistics published by the Russian Federal State Statistics Service (Rosstat) are reviewed in terms of quality, and radical disagreement between “month-on-month” and “year-on-year” monthly statistics is identified. In view of this, an original method is proposed for estimating the level of Regional Economic Activity (REA), based on monthly official regional statistics in five key sectors of the Russian economy: industry, construction, retail trade, wholesale trade, and paid services for the population. This method transforms current “year-on-year” growth rates into specially constructed dichotomous variables, which eliminate the excessive volatility and inaccuracy of the initial time series. On these grounds, REA indices are estimated for all Russian constituent entities for the period from January 2005 to May 2017. Composite REA indices for all five economic sectors, eight federal districts, and Russia as a whole are then calculated. Methods for visualising multidimensional regional data are also proposed. They allow us to track the regional peculiarities of the Russian economy and to discern the current phase of the business cycle more accurately and without any additional lag. Several illustrative examples for the possible application of these indices in real time monitoring and analyses are provided

Suggested Citation

  • Sergey V. Smirnov & Nikolay V. Kondrashov, 2017. "Indices of Regional Economic Activity for Russia," HSE Working papers WP BRP 169/EC/2017, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:169/ec/2017
    as

    Download full text from publisher

    File URL: https://wp.hse.ru/data/2017/08/08/1173382044/169EC2017.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sergey V. Smirnov & Nikolay V. Kondrashov & Anna V. Petronevich, 2017. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 53-73, May.
    2. Theodore M. Crone & Alan Clayton-Matthews, 2005. "Consistent Economic Indexes for the 50 States," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 593-603, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. A. A. Shirov & V. V. Potapenko & K. M. Nikitin & Yu. Yu. Chaplina, 2022. "The System of Short-Term Regional Economic Monitoring in Moscow," Studies on Russian Economic Development, Springer, vol. 33(3), pages 301-310, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brave, Scott A. & Gascon, Charles & Kluender, William & Walstrum, Thomas, 2021. "Predicting benchmarked US state employment data in real time," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1261-1275.
    2. Sung Il Hong & Michael Mondello & Dennis Coates, 2011. "An Examination of the Effects of the Recent Economic Crisis on Major League Baseball (MLB) Attendance Demand," Working Papers 1123, International Association of Sports Economists;North American Association of Sports Economists.
    3. Fieldhouse, Andrew & Howard, Sean & Koch, Christoffer & Munro, David, 2022. "A New Claims-Based Unemployment Dataset: Application to Postwar Recoveries Across U.S. States," GLO Discussion Paper Series 1066, Global Labor Organization (GLO).
    4. Ahking, Francis W., 2014. "Measuring U.S. business cycles: A comparison of two methods and two indicators of economic activities," Journal of Economic and Social Measurement, IOS Press, issue 4, pages 199-216.
    5. Aguiar-Conraria Luís & Brinca Pedro & Guðjónsson Haukur Viðar & Soares Maria Joana, 2017. "Business cycle synchronization across U.S. states," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-15, January.
    6. Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2005. "The 2001 recession and the states of the Eighth Federal Reserve District," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 3-16.
    7. Owyang, Michael T. & Piger, Jeremy & Wall, Howard J., 2008. "A state-level analysis of the Great Moderation," Regional Science and Urban Economics, Elsevier, vol. 38(6), pages 578-589, November.
    8. Christiane Baumeister & Danilo Leiva-León & Eric Sims, 2024. "Tracking Weekly State-Level Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 483-504, March.
    9. Ma, Rui & Marshall, Ben R. & Nguyen, Hung T. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2022. "Climate events and return comovement," Journal of Financial Markets, Elsevier, vol. 61(C).
    10. Bradley T. Ewing & Jamie B. Kruse & Mark A. Thompson, 2010. "Measuring the Regional Economic Response to Hurricane Katrina," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 11(2), pages 80-85, July.
    11. Kuhlmann, Angela & Decker, Christopher S. & Wohar, Mark E., 2008. "The Composition of Industry and the Duration of State Recessions," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(3), pages 1-16.
    12. Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022. "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
    13. Barend Abeln & Jan P. A. M. Jacobs, 2023. "CAMPLET: Seasonal Adjustment Without Revisions," SpringerBriefs in Economics, in: Seasonal Adjustment Without Revisions, chapter 0, pages 7-29, Springer.
    14. Ryan W Herzog, 2013. "An Analysis of Okun's Law, the Natural Rate, and Voting Preferences for the 50 States," Economics Bulletin, AccessEcon, vol. 33(4), pages 2504-2517.
    15. Lin Tian & Liang Han & Biao Mi, 2020. "Bank competition, information specialization and innovation," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 1011-1035, April.
    16. Aguiar-Conraria, Luis & Brinca, Pedro & Gudjonsson, Haukur & Soares, Joana, 2015. "Optimal currency area and business cycle synchronization across U.S. states," MPRA Paper 62125, University Library of Munich, Germany.
    17. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    18. Arias, Maria A. & Gascon, Charles S. & Rapach, David E., 2016. "Metro business cycles," Journal of Urban Economics, Elsevier, vol. 94(C), pages 90-108.
    19. Lehmann, Robert & Wikman, Ida, 2022. "Quarterly GDP Estimates for the German States," MPRA Paper 112642, University Library of Munich, Germany.
    20. Leiva-Leon, Danilo, 2013. "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," MPRA Paper 54452, University Library of Munich, Germany.

    More about this item

    Keywords

    business cycles; economic activity; regions; federal districts of Russia.;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hig:wpaper:169/ec/2017. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.