IDEAS home Printed from https://ideas.repec.org/p/rnp/ppaper/mn20.html
   My bibliography  Save this paper

Improving the System of Tax Revenues Forecast
[Совершенствование Системы Прогнозирования Налоговых Доходов Бюджета]

Author

Listed:
  • Sentyureva, N (Сентюрева, Н.)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Yagоvkinа, Vitа (Яговкина, Вита)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Kolomak, Evgeniya (Коломак, Евгения)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Uskov, D (Усков, Д.)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

Abstract

Forecasting of tax revenues is an integral part of the budget process, the implementation of which is taking the necessary political, financial and socio-economic solutions. Under the conditions of existence of financial instability in the economy, improved forecasting tool designed to solve the problems of prediction and prevention of the negative effects of economic shocks, ensure the financial sustainability of the budget system of the Russian Federation.

Suggested Citation

  • Sentyureva, N (Сентюрева, Н.) & Yagоvkinа, Vitа (Яговкина, Вита) & Kolomak, Evgeniya (Коломак, Евгения) & Uskov, D (Усков, Д.), 2015. "Improving the System of Tax Revenues Forecast [Совершенствование Системы Прогнозирования Налоговых Доходов Бюджета]," Published Papers mn20, Russian Presidential Academy of National Economy and Public Administration.
    • Handle: RePEc:rnp:ppaper:mn20
    as

    Download full text from publisher

    File URL: https://repec.ranepa.ru/rnp/ppaper/mn20.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stock, James H & Watson, Mark W, 1988. "Variable Trends in Economic Time Series," Journal of Economic Perspectives, American Economic Association, vol. 2(3), pages 147-174, Summer.
    2. Arthur F. Burns & Wesley C. Mitchell, 1946. "Dating Specific and Business Cycles," NBER Chapters, in: Measuring Business Cycles, pages 56-114, National Bureau of Economic Research, Inc.
    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. Herrera, Santiago, 2000. "Determinantes y composición del endeudamiento público en Colombia," IDB Publications (Working Papers) 2110, Inter-American Development Bank.
    2. Parma Chakravartti & Sudipto Mundle, 2017. "An Automatic Leading Indicator Based Growth Forecast For 2016-17 and The Outlook Beyond," Working Papers id:11773, eSocialSciences.
    3. Robert Dixon & G.C. Lim, 2004. "Underlying Inflation in Australia: Are the Existing Measures Satisfactory?," The Economic Record, The Economic Society of Australia, vol. 80(251), pages 373-386, December.
    4. Webster, Mort & Sue Wing, Ian & Jakobovits, Lisa, 2010. "Second-best instruments for near-term climate policy: Intensity targets vs. the safety valve," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 250-259, May.
    5. Foders, Federico & Glismann, Hans H., 1992. "Explaining the Argentine growth paradox: new evidence applying cointegration techniques," Kiel Working Papers 506, Kiel Institute for the World Economy (IfW Kiel).
    6. John T. Cuddington & Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, , vol. 36(1), pages 185-210, January.
    7. Koop, Gary & Dijk, Herman K. Van, 2000. "Testing for integration using evolving trend and seasonals models: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 97(2), pages 261-291, August.
    8. Kocagil, Ahmet E. & Topyan, Kudret, 1997. "An empirical note on demand for speculation and futures risk premium: A Kalman Filter application," Review of Financial Economics, Elsevier, vol. 6(1), pages 77-93.
    9. Chen, Xiaoshan & Mills, Terence C., 2009. "Evaluating growth cycle synchronisation in the EU," Economic Modelling, Elsevier, vol. 26(2), pages 342-351, March.
    10. Lee, Chingnun & Shie, Fu Shuen & Chang, Chiao Yi, 2012. "How close a relationship does a capital market have with other such markets? The case of Taiwan from the Asian financial crisis," Pacific-Basin Finance Journal, Elsevier, vol. 20(3), pages 349-362.
    11. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2024. "Exponential Time Trends in a Fractional Integration Model," Econometrics, MDPI, vol. 12(2), pages 1-14, May.
    12. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    13. Mogotsinyana MAPHARING & Elang BASUHI, 2017. "Electronic Banking and Bank Performance: Botswana Context," International Journal of Emerging Trends in Social Sciences, Scientific Publishing Institute, vol. 1(1), pages 84-93.
    14. Everaert, Gerdie & Heylen, Freddy, 2001. "Public capital and productivity growth: evidence for Belgium, 1953-1996," Economic Modelling, Elsevier, vol. 18(1), pages 97-116, January.
    15. Dominika Kolcunova & Tomas Havranek, 2018. "Estimating the Effective Lower Bound on the Czech National Bank’s Policy Rate," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(6), pages 550-577, December.
    16. Chang-Jin Kim & Jeremy M. Piger & Richard Startz, 2001. "Permanent and transitory components of business cycles: their relative importance and dynamic relationship," International Finance Discussion Papers 703, Board of Governors of the Federal Reserve System (U.S.).
    17. Huchet, Marilyne, 2003. "Does single monetary policy have asymmetric real effects in EMU?," Journal of Policy Modeling, Elsevier, vol. 25(2), pages 151-178, February.
    18. Pedro Garcia Duarte, 2015. "From real business cycle and new Keynesian to DSGE Macroeconomics: facts and models in the emergence of a consensus," Working Papers, Department of Economics 2015_05, University of São Paulo (FEA-USP).
    19. Joyce, Theodore, 1990. "A time-series analysis of unemployment and health : The case of birth outcomes in New York city," Journal of Health Economics, Elsevier, vol. 8(4), pages 419-436, February.
    20. Robert W. Arnold, 2009. "The challenges of estimating potential output in real time," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 271-290.

    More about this item

    Keywords

    tax revenues; forecasting; budget; financial sustainability;
    All these keywords.

    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:rnp:ppaper:mn20. 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: RANEPA maintainer (email available below). General contact details of provider: https://edirc.repec.org/data/aneeeru.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.