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Application of VAR Models to Assess the Impact of Budget Expenditures on GDP Dynamics

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  • E. O. Matveev

    (Financial University under the Government of the Russian Federation)

  • I. A. Sokolov

    (Financial University under the Government of the Russian Federation)

Abstract

— This study uses the fiscal multiplier to evaluate the efficiency of government spending. The innovation of this work was the assessment of the VAR model of the Russian economy with time-varying coefficients and volatility parameters of macroeconomic indicators, which, unlike existing studies, made it possible to calculate the value of the budget multiplier separately for each year of the selected time interval (2005–2023) and describe its dynamics. Based on the calculation results, one can note a decrease in the efficiency of budget expenditures as their volume increases, which is especially noticeable during periods of crisis. The calculation of multipliers in the context of the main functional sections made it possible to identify the dependence of the efficiency of budget expenditures on their structure: the decrease in the efficiency of total expenditures in the period up to 2009 was mainly due to a drop in the return on social expenditures, and further dynamics were due to a rather rapid reduction in the positive impact on the economy from “power” spending.

Suggested Citation

  • E. O. Matveev & I. A. Sokolov, 2024. "Application of VAR Models to Assess the Impact of Budget Expenditures on GDP Dynamics," Studies on Russian Economic Development, Springer, vol. 35(5), pages 657-666, October.
  • Handle: RePEc:spr:sorede:v:35:y:2024:i:5:d:10.1134_s1075700724700199
    DOI: 10.1134/S1075700724700199
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    References listed on IDEAS

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    1. Alan J. Auerbach & Yuriy Gorodnichenko, 2012. "Measuring the Output Responses to Fiscal Policy," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 1-27, May.
    2. Berg Tim Oliver, 2015. "Time Varying Fiscal Multipliers in Germany," Review of Economics, De Gruyter, vol. 66(1), pages 13-46, April.
    3. Vlasov, S. & Deryugina, E., 2018. "Fiscal Multipliers in Russia," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 104-119.
    4. Christina D. Romer & David H. Romer, 2010. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," American Economic Review, American Economic Association, vol. 100(3), pages 763-801, June.
    5. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    6. Lawrence Christiano & Martin Eichenbaum & Sergio Rebelo, 2011. "When Is the Government Spending Multiplier Large?," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 78-121.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    8. Sarah Zubairy, 2014. "On Fiscal Multipliers: Estimates From A Medium Scale Dsge Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 169-195, February.
    9. Sarah Zubairy, 2014. "On Fiscal Multipliers: Estimates From A Medium Scale Dsge Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(1), pages 169-195, February.
    10. Pavel Yakovlev, 2007. "Arms Trade, Military Spending, And Economic Growth," Defence and Peace Economics, Taylor & Francis Journals, vol. 18(4), pages 317-338.
    11. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    12. Olivier Blanchard & Roberto Perotti, 2002. "An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1329-1368.
    13. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    14. Giordano, Raffaela & Momigliano, Sandro & Neri, Stefano & Perotti, Roberto, 2007. "The effects of fiscal policy in Italy: Evidence from a VAR model," European Journal of Political Economy, Elsevier, vol. 23(3), pages 707-733, September.
    15. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    16. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    17. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
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