IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v32y2021i6d10.1134_s1075700721060150.html
   My bibliography  Save this article

A Study of the Connection between Intertemporal Changes in Consolidated Macroeconomic Indicators and the Performance of Individual Industries in Russia’s Economy

Author

Listed:
  • N. V. Suvorov

    (Institute of Economic Forecasting, Russian Academy of Sciences)

  • S. V. Treshchina

    (Institute of Economic Forecasting, Russian Academy of Sciences)

  • Yu. V. Beletsky

    (Institute of Economic Forecasting, Russian Academy of Sciences)

Abstract

The article presents the results of a quantitative analysis of the connection between the intertemporal changes in the performance of industries, or types of economic activities, and in consolidated macroeconomic indicators in Russia’s economy in 1995–2016. The presence of a cyclical factor is established in the connection between the changes in individual types of economic activities and macroeconomic indicators in this period. A possibility of using a special class of time functions (based on the Fourier transform) for modeling economic dynamics at the level of individual types of activities is analyzed.

Suggested Citation

  • N. V. Suvorov & S. V. Treshchina & Yu. V. Beletsky, 2021. "A Study of the Connection between Intertemporal Changes in Consolidated Macroeconomic Indicators and the Performance of Individual Industries in Russia’s Economy," Studies on Russian Economic Development, Springer, vol. 32(6), pages 611-618, November.
  • Handle: RePEc:spr:sorede:v:32:y:2021:i:6:d:10.1134_s1075700721060150
    DOI: 10.1134/S1075700721060150
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700721060150
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S1075700721060150?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nerlove, Marc & Grether, David M. & Carvalho, José L., 1979. "Analysis of Economic Time Series," Elsevier Monographs, Elsevier, edition 1, number 9780125157506 edited by Shell, Karl.
    2. N. V. Suvorov & S. V. Treshchina & Yu. V. Beletskii, 2020. "Design of Methods for Long-Term Forecasting of Development Trends in the Russian Economy (Methodology and Model Toolkit)," Studies on Russian Economic Development, Springer, vol. 31(6), pages 636-646, November.
    Full references (including those not matched with items on IDEAS)

    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. Jerry A. Hausman & Mark W. Watson, 1983. "Seasonal Adjustment with Measurement Error Present," NBER Working Papers 1133, National Bureau of Economic Research, Inc.
    2. Burton, Diana M. & Love, H. Alan, 1996. "A Review of Alternative Expectations Regimes in Commodity Markets: Specification, Estimation, and Hypothesis Testing Using Structural Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(2), pages 213-231, October.
    3. Marc Nerlove, 1979. "The Dynamics of Supply: Retrospect and Prospect," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 874-888.
    4. Victor Gomez & Jorg Breitung, 1999. "The Beveridge–Nelson Decomposition: A Different Perspective with New Results," Journal of Time Series Analysis, Wiley Blackwell, vol. 20(5), pages 527-535, September.
    5. Calice, Giovanni & Mio, RongHui & Štěrba, Filip & Vašíček, Bořek, 2015. "Short-term determinants of the idiosyncratic sovereign risk premium: A regime-dependent analysis for European credit default swaps," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 174-189.
    6. Menelaos Karanasos, "undated". "The Covariance Structure of Mixed ARMA Models," Discussion Papers 00/11, Department of Economics, University of York.
    7. Ghysels, E., 1993. "A Time Series Model with Periodic Stochastic Regime Switching," Cahiers de recherche 9314, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    8. Tommaso Proietti & Alessandra Luati, 2013. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 15, pages 334-362, Edward Elgar Publishing.
    9. Alho, Juha M., 2014. "Forecasting demographic forecasts," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1128-1135.
    10. Harald Witzke, 1986. "Endogenous supranational policy decisions: The Common Agricultural Policy of the European Community," Public Choice, Springer, vol. 48(2), pages 157-174, January.
    11. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    12. Gabriele Fiorentini & Enrique Sentana, 2016. "Neglected serial correlation tests in UCARIMA models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 121-178, March.
    13. Maravall, Agustin, 2006. "An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2167-2190, May.
    14. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    15. Tommaso Proietti, 2012. "Seasonality, Forecast Extensions And Business Cycle Uncertainty," Journal of Economic Surveys, Wiley Blackwell, vol. 26(4), pages 555-569, September.
    16. Altug, Sumru, 1989. "Time-to-Build and Aggregate Fluctuations: Some New Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(4), pages 889-920, November.
    17. Stilianos Fountas & Menelaos Karanasos & Marika Karanassou, "undated". "A GARCH Model of Inflation and Inflation Uncertainty with Simultaneous Feedback," Discussion Papers 00/24, Department of Economics, University of York.
    18. Peter Young, 1999. "Recursive and en-bloc approaches to signal extraction," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(1), pages 103-128.
    19. Ghysels, Eric & Lee, Hahn S & Siklos, Pierre L, 1993. "On the (Mis)Specification of Seasonality and Its Consequences: An Empirical Investigation with U.S. Data," Empirical Economics, Springer, vol. 18(4), pages 747-760.
    20. Maravall, Agustín & Peña, Daniel, 1992. "Missing observations and additive outliers in time series models," UC3M Working papers. Economics 2888, Universidad Carlos III de Madrid. Departamento de Economía.

    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:spr:sorede:v:32:y:2021:i:6:d:10.1134_s1075700721060150. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.