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Government Expenditure and National Income: Causality Tests for Twelve New Members of E.E

Author

Listed:
  • Chaido Dritsaki

    (Technological Institute of Western Macedonia)

  • Melina Dritsaki

    (Brunel University, West London)

Abstract

This study aims to determine the direction of causality between national income and government expenditures for twelve new members of E.E. namely Bulgaria, Cyprus, Czech Republic, Estonia, Hungary, Lithuania, Latvia, Malta, Poland, Romania, Slovenia, and Slovakia. Support for the hypothesis that causality runs from government expenditures to national income has been found only in the case of Bulgaria and Cyprus. The results of Granger causality tests indicate that Wagner’s law is supported by the data of countries (Cyprus, Poland, and Romania) in our sample.

Suggested Citation

  • Chaido Dritsaki & Melina Dritsaki, 2010. "Government Expenditure and National Income: Causality Tests for Twelve New Members of E.E," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 13(38), pages 67-89, December.
  • Handle: RePEc:rej:journl:v:13:y:2010:i:38:p:67-89
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    References listed on IDEAS

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    1. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Barro, Robert J, 1990. "Government Spending in a Simple Model of Endogenous Growth," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 103-126, October.
    5. Loizides, John & Vamvoukas, George, 2005. "Government Expenditure and Economic Growth: Evidence from Trivariate Causality Testing," Journal of Applied Economics, Universidad del CEMA, vol. 8(1), pages 1-28, May.
    6. Chor Foon Tang, 2009. "An Examination of the Government Spending and Economic Growth Nexus for Malaysia Using the Leveraged Bootstrap Simulation Approach," Global Economic Review, Taylor & Francis Journals, vol. 38(2), pages 215-227.
    7. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    9. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    10. Singh, Balvir & Sahni, Balbir S, 1984. "Causality between Public Expenditure and National Income," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 630-644, November.
    11. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    12. M. I. Ansari & D. V. Gordon & C. Akuamoah, 1997. "Keynes versus Wagner: public expenditure and national income for three African countries," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 543-550.
    13. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    14. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
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    Cited by:

    1. Cristian C. Popescu & Laura Diaconu (Maxim), 2021. "Government Spending and Economic Growth: A Cointegration Analysis on Romania," Sustainability, MDPI, vol. 13(12), pages 1-16, June.

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    More about this item

    Keywords

    Government Expenditure; National Income; Twelve New Members of E.E; Unit Root; Cointegration; Causality;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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