IDEAS home Printed from https://ideas.repec.org/a/ris/utmsje/0296.html
   My bibliography  Save this article

Granger Causality Test For The Government’S Capital Expenditures On The Gdp Of The Republic North Macedonia In Var Environment

Author

Listed:
  • Ivanovski, Zoran

    (University of Tourism and Management in Skopje)

  • Narasanov, Zoran

    (Winner Insurance, Vienna Insurance Group, Skopje)

  • Korunovska, Vesna

    (Customs Office of the Republic of North Macedonia)

Abstract

In this paper, we test Granger causality in VAR environment of the State Budget’s capital expenditures on the GDP. There is no doubt that capital expenditures for infrastructure projects, energetic, communications and similar have direct and indirect impact on the GDP growth, but non-essential capital spending raise the question if this part of public consumption as well part of the State Budget resources have influence on the Macedonian GDP growth. We are testing the impact of capital expenditures on the GDP by using econometric model of the Granger causality in VAR environment in order to determine if there is two-ways connections between GDP and capital expenditures from the Budget of the Republic of North Macedonia. We did not find Granger Causality between capital expenditures and GDP of the Republic of North Macedonia for the analyzed period 2006-2019. It implicates that capital expenditures cannot be used for the accurate GDP forecasts with acceptable level of certainty.

Suggested Citation

  • Ivanovski, Zoran & Narasanov, Zoran & Korunovska, Vesna, 2020. "Granger Causality Test For The Government’S Capital Expenditures On The Gdp Of The Republic North Macedonia In Var Environment," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 11(2), pages 183-201.
    • Handle: RePEc:ris:utmsje:0296
    as

    Download full text from publisher

    File URL: http://utmsjoe.mk/files/Vol.11.No.2/GRANGER_CAUSALITY_TEST_FOR_THE_GOVERNMENTS_CAPITAL_EXPENDITURES_ON_THE_GDP_OF_THE_REPUBLIC_NORTH_MACEDONIA_IN_VAR_ENVIRONMENT.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aggarwal, Reena & Inclan, Carla & Leal, Ricardo, 1999. "Volatility in Emerging Stock Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(1), pages 33-55, March.
    2. Ilzetzki, Ethan & Mendoza, Enrique G. & Végh, Carlos A., 2013. "How big (small?) are fiscal multipliers?," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 239-254.
    3. Lane, Philip R., 2003. "The cyclical behaviour of fiscal policy: evidence from the OECD," Journal of Public Economics, Elsevier, vol. 87(12), pages 2661-2675, December.
    4. Shafik Hebous, 2011. "The Effects Of Discretionary Fiscal Policy On Macroeconomic Aggregates: A Reappraisal," Journal of Economic Surveys, Wiley Blackwell, vol. 25(4), pages 674-707, September.
    5. Lutz Kilian, 2013. "Structural vector autoregressions," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554, Edward Elgar Publishing.
    6. Akgiray, Vedat, 1989. "Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecasts," The Journal of Business, University of Chicago Press, vol. 62(1), pages 55-80, January.
    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. Søren Ravn & Morten Spange, 2014. "The Effects of Fiscal Policy in a Small Open Economy with a Fixed Exchange Rate," Open Economies Review, Springer, vol. 25(3), pages 451-476, July.
    2. Ardanaz, Martín & Izquierdo, Alejandro, 2017. "Current Expenditure Upswings in Good Times and Capital Expenditure Downswings in Bad Times?: New Evidence from Developing Countries," IDB Publications (Working Papers) 8558, Inter-American Development Bank.
    3. Novkovska, Blagica & Serafimovic, Gordana, 2018. "Recognizing The Vulnerability Of Generation Z To Economic And Social Risks," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(1), pages 29-37.
    4. Pandey, Ajay, 2003. "Modeling and Forecasting Volatility in Indian Capital Markets," IIMA Working Papers WP2003-08-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
    5. Haryo Kuncoro, 2014. "The cyclicality of government expenditure in developing country: the case of Indonesia," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 6(1), pages 23-37, April.
    6. Combes, Jean-Louis & Minea, Alexandru & Sow, Moussé, 2017. "Is fiscal policy always counter- (pro-) cyclical? The role of public debt and fiscal rules," Economic Modelling, Elsevier, vol. 65(C), pages 138-146.
    7. Pablo Hernández de Cos & Enrique Moral-Benito, 2016. "Fiscal multipliers in turbulent times: the case of Spain," Empirical Economics, Springer, vol. 50(4), pages 1589-1625, June.
    8. Giancarlo Corsetti & Michael P. Devereux & Luigi Guiso & John Hassler & Gilles Saint-Paul & Hans-Werner Sinn & Jan-Egbert Sturm & Xavier Vives, 2010. "Chapter 3: From Fiscal Rescue to Global Debt," EEAG Report on the European Economy, CESifo, vol. 0, pages 71-100, February.
    9. Luis Ayala-Cañón & María Jesús Delgado-Rodríguez & Sonia De Lucas-Santos, 2022. "Synchronization and cyclicality of social spending in economic crises," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(4), pages 1153-1187, November.
    10. Serhan Cevik & Vibha Nanda, 2020. "Riding the storm: fiscal sustainability in the Caribbean," International Review of Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 384-399, May.
    11. Reicher, Claire, 2014. "Systematic fiscal policy and macroeconomic performance: A critical overview of the literature," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-37.
    12. Hernán Rincón & Diego Rodríguez & Jorge Toro & Santiago Téllez, 2017. "FISCO: modelo fiscal para Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 35(83), pages 161-187, June.
    13. Sebastian Hauptmeier & A. Jesús Sánchez Fuentes & Ludger Schuknecht, 2015. "Spending Dynamics in Euro Area Countries: Composition and Determinants," Hacienda Pública Española / Review of Public Economics, IEF, vol. 215(4), pages 119-138, December.
    14. Sebastian Gechert, 2015. "What fiscal policy is most effective? A meta-regression analysis," Oxford Economic Papers, Oxford University Press, vol. 67(3), pages 553-580.
    15. Angelovska, Julijana & Ivanovski, Zoran, 2018. "Accuracy In Risk Estimation Based On Simple Sma And Ewma Models:Evidence From Macedonian Stock Market," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(1), pages 17-27.
    16. Rilind Kabashi, 2017. "Macroeconomic effects of fiscal policy in the European Union, with particular reference to transition countries," Public Sector Economics, Institute of Public Finance, vol. 41(1), pages 39-69.
    17. Crafts, Nicholas & Mills, Terence C., 2013. "Rearmament to the Rescue? New Estimates of the Impact of “Keynesian” Policies in 1930s' Britain," The Journal of Economic History, Cambridge University Press, vol. 73(4), pages 1077-1104, December.
    18. Bonam, Dennis & De Haan, Jakob & Soederhuizen, Beau, 2022. "The Effects Of Fiscal Policy At The Effective Lower Bound," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 149-185, January.
    19. Rakesh Kumar & Raj S. Dhankar, 2011. "Non Linearity and Heteroskedasticity Effect on Stock Returns Volatility," Global Business Review, International Management Institute, vol. 12(2), pages 319-329, June.
    20. Chistoph Grosse-Steffen & Laura Pagenhardt & Malte Rieth, 2021. "Committed to Flexible Fiscal Rules," Working papers 854, Banque de France.

    More about this item

    Keywords

    Granger causality; VAR; environment; capital expenditures; probability;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

    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:ris:utmsje:0296. 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: Assistant Professor. Dejan Nakovski, PhD (email available below). General contact details of provider: https://edirc.repec.org/data/feutmmk.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.