Granitsa Yu.V.National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation ygranica@yandex.ru ORCID id: not available
Subject. The article addresses projections of regional budget revenues, using distributed lag models. Objectives. The purpose is to review economic and statistical tools that are suitable for the analysis of relationship between the revenues of the regional budget system and regional macroeconomic predictors. Methods. The study draws on statistical, constructive, economic and mathematical methods of analysis. Results. In models with quantitative variables obtained under the Almon method, the significant predictors in the forecasting of regional budget revenues are determined mainly by the balanced financial result, the consumer price index, which characterizes inflation processes in the region, and the unemployment rate being the key indicator of the labor market. Models with quantitative variables obtained through the Koyck transformation are characterized by a wider range of predictors, the composition of which is determined by the peculiarities of economic situation in regions. The two-year forecast provides the average lag obtained during the evaluation of the models. The exception is the impact of unemployment rate, which is characterized as long-term. Conclusions. To generate forecasts of budget parameters, the results of both the Koyck method and the Almon method should be considered, though the former is more promising.
Keywords: budget revenues, distributed lag model, Almon's method, Koyck transformation
References:
Savchishina K.E. [Modern problems and development prospects of the Russian budgetary system]. Problemy prognozirovaniya = Problems of Forecasting, 2017, no. 6, pp. 101–114. URL: Link (In Russ.)
Kankulova M.I. [The concept and key factors of budget system's sustainability]. Finansy i kredit = Finance and Credit, 2016, no. 37, pp. 30–39. URL: Link (In Russ.)
Gamukin V.V. [Combinatorial analysis of the budget system's risks]. Finansy i kredit = Finance and Credit, 2015, no. 22, pp. 28–39. URL: Link (In Russ.)
Sharov V.F., Karaev A.K. [The Budget System Sustainability and the Problem of Restoring Economic Growth in Russia]. Finansy: teoriya i praktika = Finance: Theory and Practice, 2014, no. 5, pp. 73–83. URL: Link (In Russ.)
Solomko M.N. [Budget Balance: Approaches to Definition and Estimation]. Vestnik universiteta (Gosudarstvennyi universitet upravleniya) = University Bulletin (State University of Management), 2019, no. 3, pp. 143–150. URL: Link (In Russ.)
Avtonchuk G.A., Pozdnyakov G.E. [Personal income tax as a tool to overcome regional budget deficit]. Upravlencheskii uchet i finansy = Management Accounting and Finance, 2020, no. 1, pp. 20–31. (In Russ.) URL: Link
Spiridonov E.E. [Risks inherent in the volatility of income-generating flows of regional budget in the Russian Federation: Management based on hedging instruments]. Upravlenie finansovymi riskami = Financial Risk Management, 2019, no. 1, pp. 42–51. (In Russ.)
Terekhina S.A., Soldatenko I.A. [Current Budgetary Policy and Main Parameters of the Federal Budget for 2018 and for the Planned Period 2019 and 2020. The Budgetary Policy Relationship with the Forecast-2030]. Finansy i kredit = Finance and Credit, 2018, vol. 24, iss. 2, pp. 362–376. (In Russ.) URL: Link
Malkina M.Yu., Balakin R.V. [Study of Tax Revenues in the Russian Federation, Federal Districts and Regions of the Russian Federation with the Use of the Logarithmic Method of Factor Analysis]. Nalogi i nalogooblozhenie = Taxes and Taxation, 2016, no. 2, pp. 190–208. URL: Link (In Russ.)
Belyanichev V.G., Savderova A.F. [Assessment of the impact of real fixed capital formation on the volume of the gross regional product]. Oeconomia et Jus, 2019, no. 1. (In Russ.) URL: Link
Zoidov K.Kh., Yankauskas K.S., Pirogov N.L. [Simulation of the system of fiscal relations in Russia in the framework of the development and expansion of the EAEU in conditions of instability. Part II]. Nauchnoe obozrenie. Ser. 1: Ekonomika i pravo = Scientific Review. Series 1. Economics and Law, 2016, no. 6, pp. 81–100. (In Russ.)
Ivanov P.A., Sakhapova G.R. [Financial instability in the region: Assessment methods and elimination tools]. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz = Economic and Social Changes: Facts, Trends, Forecast, 2014, no. 6, pp. 183–198. URL: Link (In Russ.)
Boldyrevskii P.B., Kistanova L.A. [A distributed lag model of dynamics of industrial enterprises' innovation activities]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2014, no. 25, pp. 58–62. URL: Link (In Russ.)
Novikov E.I. [Parameter estimation of the linear regression models taking into account delay of influence of factors on an effect variable]. Naukovedenie, 2016, vol. 8, no. 4. (In Russ.) URL: Link
Kolpakov V.F. [Modeling of dynamic processes in economy]. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience, 2014, no. 3, pp. 31–36. URL: Link (In Russ.)
Granitsa Yu.V. [Applying the Koyck method to assess the impact of economic indicators' volatility on financial instability of a region]. Rossiya: tendentsii i perspektivy razvitiya. Ezhegodnik = Russia: Trends and Development Prospects. Yearbook, 2019, iss. 14, part 2, pp. 802–805. URL: Link (In Russ.)
