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Forecasting Non-Oil and Gas Revenues in the Russian Budget

Author

Listed:
  • Matvey Finagin

    (Bank of Russia; HSE University)

  • Sergey Sheremeta

    (Bank of Russia)

Abstract

This paper examines methods for forecasting non-oil and gas revenues in Russia's budget system in order to construct a model with the smallest forecast error in conditions of the incomplete availability of the necessary data. We use mixed data, error correction, and autoregressive distributed lag models to forecast non-oil and gas revenues at different levels of aggregation: non-oil and gas revenues minus one-time receipts; cross-border and domestic duties; and eight groups of major taxes. The quality of the models is estimated using the root mean square errors of a pseudo out-of-sample forecasts on one- and three-year horizons. The forecasts of the models constructed turn out to be more accurate than the forecasts of the Ministry of Finance of Russia for most forecast periods.

Suggested Citation

  • Matvey Finagin & Sergey Sheremeta, 2024. "Forecasting Non-Oil and Gas Revenues in the Russian Budget," Russian Journal of Money and Finance, Bank of Russia, vol. 83(4), pages 76-97, December.
  • Handle: RePEc:bkr:journl:v:83:y:2024:i:4:p:76-97
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    References listed on IDEAS

    as
    1. Carlo A. Favero & Massimiliano Marcellino, 2005. "Modelling and Forecasting Fiscal Variables for the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 755-783, December.
    2. Dongsung Kong, 2007. "Local government revenue forecasting: the california county experience," Journal of Public Budgeting, Accounting & Financial Management, Emerald Group Publishing Limited, vol. 19(2), pages 178-199, March.
    3. Valerija Botrić & Maruška Vizek, 2012. "Forecasting Fiscal Revenues in a Transition Country: The Case of Croatia," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 15(1), pages 23-36, May.
    4. Teresa Leal & Javier J. Pérez & Mika Tujula & Jean-Pierre Vidal, 2008. "Fiscal Forecasting: Lessons from the Literature and Challenges," Fiscal Studies, Institute for Fiscal Studies, vol. 29(3), pages 347-386, September.
    5. Alina Mirela BĂLŢĂŢEANU & Emilia ŢIŢAN & Daniela MANEA & Francesca Dana ANDREESCU, 2021. "Modelling the Budget Revenues on the Basis of Appropriate Macroeconomic Indicators. A Case Study for Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 158-171, June.
    6. Balaev, Alexey I. (Балаев, Алексей), 2017. "Factor Analysis of the Russian Budget System Revenues [Факторный Анализ Доходов Российской Бюджетной Системы]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 8-37, June.
    7. Chris Giles & John Hall, 1998. "Forecasting the PSBR outside government: the IFS perspective," Fiscal Studies, Institute for Fiscal Studies, vol. 19(1), pages 83-100, February.
    8. Tim Pike & David Savage, 1998. "Forecasting the public finances in the Treasury," Fiscal Studies, Institute for Fiscal Studies, vol. 19(1), pages 49-62, February.
    9. P. A. Nazarov & Kazakova, Maria, 2014. "Methodological Principles of Prediction of Tax Revenues of Budgetary System," Published Papers r90219, Russian Presidential Academy of National Economy and Public Administration.
    10. Sabaj, Ernil & Kahveci, Mustafa, 2018. "Forecasting tax revenues in an emerging economy: The case of Albania," MPRA Paper 84404, University Library of Munich, Germany.
    11. Mr. Martin Mühleisen & Ms. Kornelia Krajnyak & Mr. Stephan Danninger & Mr. David Hauner & Mr. Bennett W Sutton, 2005. "How Do Canadian Budget Forecasts Compare with Those of Other Industrial Countries?," IMF Working Papers 2005/066, International Monetary Fund.
    12. Natalia E. Barbashova, 2022. "Approaches to the Modeling and Use of a Long-term Budget Projection at the Regional Level," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 8-25, April.
    13. Pål Ulla, 2006. "Assessing Fiscal Risks through Long-term Budget Projections," OECD Journal on Budgeting, OECD Publishing, vol. 6(1), pages 127-187.
    14. Adi Brender & Guy Navon, 2010. "Predicting Government Tax Revenues and Analyzing Forecast Uncertainty," Israel Economic Review, Bank of Israel, vol. 7(2), pages 81-111.
    15. Andrew Sentance & Stephen Hall & John O'Sullivan, 1998. "Modelling and forecasting UK public finances," Fiscal Studies, Institute for Fiscal Studies, vol. 19(1), pages 63-81, February.
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    More about this item

    Keywords

    budget revenue forecast; non-oil and gas revenues; taxes;
    All these keywords.

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions

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