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A bootstrap panel Granger causality analysis of government revenues and expenditures in the PIIGS countries

Author

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  • Mihai Mutascu

    (LEO, University of Orleans and ECREB, West University of Timisoara)

Abstract

The paper investigates the government revenues-expenditures nexus in the case of Portugal, Ireland, Italy, Greece and Spain (PIIGS). The analysis covers the period 1988-2014 and follows the bootstrap panel Granger causality proposed by Kónya (2006). The findings show that there is a one-way causality in case of Greece and Italy, from government revenues to spending. The same unidirectional causality is also registered for Portugal, but it runs from public expenditure to revenues. There is no Granger causality for Ireland and Spain.

Suggested Citation

  • Mihai Mutascu, 2015. "A bootstrap panel Granger causality analysis of government revenues and expenditures in the PIIGS countries," Economics Bulletin, AccessEcon, vol. 35(3), pages 2000-2004.
    • Handle: RePEc:ebl:ecbull:eb-15-00201
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    References listed on IDEAS

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    1. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    4. Alan T. Peacock & Jack Wiseman, 1961. "The Growth of Public Expenditure in the United Kingdom," NBER Books, National Bureau of Economic Research, Inc, number peac61-1.
    5. Meltzer, Allan H & Richard, Scott F, 1981. "A Rational Theory of the Size of Government," Journal of Political Economy, University of Chicago Press, vol. 89(5), pages 914-927, October.
    6. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    7. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    8. Süleyman Bolat, 2014. "The Relationship Between Government Revenues And Expenditures: Bootstrap Panel Granger Causality Analysis On European Countries," Economic Research Guardian, Weissberg Publishing, vol. 4(2), pages 58-73, December.
    9. Alan T. Peacock & Jack Wiseman, 1979. "Approaches To the Analysis of Government Expenditure Growth," Public Finance Review, , vol. 7(1), pages 3-23, January.
    10. repec:wei:journl:v:4:y:2014:i:2:p:2-17 is not listed on IDEAS
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    Cited by:

    1. Mihai Mutascu, 2018. "G7 countries: between trade openness and CO2 emissions," Economics Bulletin, AccessEcon, vol. 38(3), pages 1446-1456.
    2. A. Phiri, 2019. "Asymmetries in the revenue–expenditure nexus: new evidence from South Africa," Empirical Economics, Springer, vol. 56(5), pages 1515-1547, May.
    3. Alexandra Lavinia Horobeț & Irina Mnohoghitnei & Emanuela Marinela Luminița Zlatea & Alexandra Smedoiu-Popoviciu, 2023. "Determinants of E-Government Use in the European Union: An Empirical Analysis," Societies, MDPI, vol. 13(6), pages 1-17, June.
    4. Fabricio Linhares & Glauber Nojosa, 2020. "Changes in the tax-spend nexus: Evidence from selected European countries," Economics Bulletin, AccessEcon, vol. 40(4), pages 3077-3087.
    5. Krasnopeeva, Natalia, 2023. "Revenues and expenditures of Russian regional budgets: Granger causality analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 5-33.
    6. Golpe, Antonio A. & Sánchez-Fuentes, A. Jesus & Vides, José Carlos, 2023. "Fiscal sustainability, monetary policy and economic growth in the Euro Area: In search of the ultimate causal path," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1026-1045.

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    More about this item

    Keywords

    Revenues; expenditures; government; bootstrap panel causality; PIIGS countries;
    All these keywords.

    JEL classification:

    • H0 - Public Economics - - General
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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