IDEAS home Printed from https://ideas.repec.org/a/spr/ijoeps/v17y2023i2d10.1007_s42495-023-00114-y.html
   My bibliography  Save this article

A re-examination of Granger causality between government expenditure and GDP

Author

Listed:
  • Seung-Joon Park

    (Kwansei Gakuin University)

Abstract

Based on data from different countries, a very strong correlation was noted between the growth rate of government expenditure and of nominal and real GDP. However, the direction of causality (which we specify as Granger causality) remains in dispute, especially regarding a stagnating economy such as Japan. This paper analyses the Granger causality between general government expenditure, nominal GDP and GDP deflators, using data from 38 OECD countries for the period 1980–2021. The preliminary results varied widely from country to country at different periods, but most results suggested the existence of Granger causality running from nominal GDP to government expenditure. In order to address the problem of spuriousness, which arises as a result of the statistics being recorded on an accrual basis, we tested for Granger causality by taking the lead variable (a variable at a later point in time) of government expenditure and found that the updated results often differed from the preliminary ones. To examine this finding in more detail, a Granger causality test was conducted using quarterly data from Japanese GDP statistics (1994–2021). One noteworthy outcome was that no Granger causality from nominal GDP to government expenditure was identified in Japan after 2008. When the lead variable of government expenditure was used as an explanatory variable, it became clear that the direction of Granger causality was unambiguously from government expenditure to nominal GDP, at least in the short term in Japan after 2008.

Suggested Citation

  • Seung-Joon Park, 2023. "A re-examination of Granger causality between government expenditure and GDP," International Journal of Economic Policy Studies, Springer, vol. 17(2), pages 533-550, August.
  • Handle: RePEc:spr:ijoeps:v:17:y:2023:i:2:d:10.1007_s42495-023-00114-y
    DOI: 10.1007/s42495-023-00114-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42495-023-00114-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42495-023-00114-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Adolph Wagner, 1958. "Three Extracts on Public Finance," International Economic Association Series, in: Richard A. Musgrave & Alan T. Peacock (ed.), Classics in the Theory of Public Finance, pages 1-15, Palgrave Macmillan.
    2. Sheilla Nyasha & Nicholas M. Odhiambo, 2019. "Government Size and Economic Growth: A Review of International Literature," SAGE Open, , vol. 9(3), pages 21582440198, September.
    3. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, September.
    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. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
    2. Mayshar, Joram & Moav, Omer & Neeman, Zvika, 2011. "Transparency, Appropriability and the Early State," CEPR Discussion Papers 8548, C.E.P.R. Discussion Papers.
    3. Mohammed, Mikidadu & Barrales-Ruiz, Jose A., 2020. "Pandemics and Oil Shocks," EconStor Preprints 222268, ZBW - Leibniz Information Centre for Economics.
    4. Verbrugge, Randal & Zaman, Saeed, 2023. "The hard road to a soft landing: Evidence from a (modestly) nonlinear structural model," Energy Economics, Elsevier, vol. 123(C).
    5. Gahn, Santiago José, 2021. "On the adjustment of capacity utilisation to aggregate demand: Revisiting an old Sraffian critique to the Neo-Kaleckian model," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 325-360.
    6. Andrea Bastianin & Alessandro Lanza & Matteo Manera, 2018. "Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 623-633, September.
    7. Blazsek, Szabolcs & Licht, Adrian, 2018. "Seasonal quasi-vector autoregressive models for macroeconomic data," UC3M Working papers. Economics 26316, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Alain Guay, 2020. "Identification of Structural Vector Autoregressions Through Higher Unconditional Moments," Working Papers 20-19, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    9. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    10. Matteo Deleidi & Claudia Fontanari & Santiago José Gahn, 2023. "Autonomous demand and technical change: exploring the Kaldor–Verdoorn law on a global level," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 57-80, April.
    11. D.P. Doessel & Abbas Valadkhani, 2002. "Public Finance and The Size of Government: A Literature Review and Econometric Results for Fiji," School of Economics and Finance Discussion Papers and Working Papers Series 108, School of Economics and Finance, Queensland University of Technology.
    12. Gulan, Adam & Haavio, Markus & Kilponen, Juha, 2021. "Can large trade shocks cause crises? The case of the Finnish–Soviet trade collapse," Journal of International Economics, Elsevier, vol. 131(C).
    13. Lutz Kilian & Nikos Nomikos & Xiaoqing Zhou, 2023. "Container Trade and the U.S. Recovery," International Journal of Central Banking, International Journal of Central Banking, vol. 19(1), pages 417-450, March.
    14. Demetrescu, Matei & Salish, Nazarii, 2024. "(Structural) VAR models with ignored changes in mean and volatility," International Journal of Forecasting, Elsevier, vol. 40(2), pages 840-854.
    15. Montiel Olea, José Luis & Nesbit, James, 2021. "(Machine) learning parameter regions," Journal of Econometrics, Elsevier, vol. 222(1), pages 716-744.
    16. Bettendorf, Timo & Heinlein, Reinhold, 2019. "Connectedness between G10 currencies: Searching for the causal structure," Discussion Papers 06/2019, Deutsche Bundesbank.
    17. Karsten Kohler & Engelbert Stockhammer, 2023. "Flexible exchange rates in emerging markets: shock absorbers or drivers of endogenous cycles?," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 551-572.
    18. Abdulaziz H. Algaeed, 2022. "Government Spending Volatility and Real Economic Growth: Evidence From a Major Oil Producing Country, Saudi Arabia, 1970 to 2018," SAGE Open, , vol. 12(2), pages 21582440221, April.
    19. Lucidi, Francesco Simone & Semmler, Willi, 2023. "Long-run scarring effects of meltdowns in a small-scale nonlinear quadratic model," Journal of Macroeconomics, Elsevier, vol. 75(C).
    20. Olugbenga Onafowora & Oluwole Owoye, 2019. "Impact of external debt shocks on economic growth in Nigeria: a SVAR analysis," Economic Change and Restructuring, Springer, vol. 52(2), pages 157-179, May.

    More about this item

    Keywords

    Granger causality; GDP; Government expenditure; OECD countries; Spurious causality;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • H5 - Public Economics - - National Government Expenditures and Related Policies

    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:spr:ijoeps:v:17:y:2023:i:2:d:10.1007_s42495-023-00114-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.