IDEAS home Printed from https://ideas.repec.org/a/rej/journl/v13y2010i38p67-89.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.rejournal.eu/sites/rejournal.versatech.ro/files/articole/2010-12-01/2113/dritsaki-je38.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. John Loizides & George Vamvoukas, 2005. "Government Expenditure and Economic Growth: Evidence from Trivariate Causality Testing," Journal of Applied Economics, Taylor & Francis Journals, vol. 8(1), pages 125-152, May.
    6. 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.
    7. 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..
    8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. Chien-Chung Nieh & Hwey-Yun Yau & Ken Hung & Hong-Kou Ou & Shine Hung, 2013. "Cointegration and causal relationships among steel prices of Mainland China, Taiwan, and USA in the presence of multiple structural changes," Empirical Economics, Springer, vol. 44(2), pages 545-561, April.
    2. Magazzino, Cosimo, 2010. "Wagner's law and augmented Wagner's law in EU-27. A time-series analysis on stationarity, cointegration and causality," MPRA Paper 26668, University Library of Munich, Germany.
    3. Magazzino, Cosimo, 2012. "Wagner versus Keynes: Public spending and national income in Italy," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 890-905.
    4. Tang, Chor Foon, 2010. "The determinants of health expenditure in Malaysia: A time series analysis," MPRA Paper 24356, University Library of Munich, Germany.
    5. Isabel Cortés-Jiménez & Manuel Artís, 2005. "The role of the tourism sector in economic development - Lessons from the Spanish experience," ERSA conference papers ersa05p488, European Regional Science Association.
    6. Panagiotis Pegkas & Constantinos Tsamadias, 2017. "Are There Separate Effects of Male and Female Higher Education on Economic Growth? Evidence from Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(1), pages 279-293, March.
    7. Gries, Thomas & Kraft, Manfred & Meierrieks, Daniel, 2009. "Linkages Between Financial Deepening, Trade Openness, and Economic Development: Causality Evidence from Sub-Saharan Africa," World Development, Elsevier, vol. 37(12), pages 1849-1860, December.
    8. de Meulemeester, Jean-Luc & Rochat, Denis, 1995. "A causality analysis of the link between higher education and economic development," Economics of Education Review, Elsevier, vol. 14(4), pages 351-361, December.
    9. Yau, Hwey-Yun & Nieh, Chien-Chung, 2006. "Interrelationships among stock prices of Taiwan and Japan and NTD/Yen exchange rate," Journal of Asian Economics, Elsevier, vol. 17(3), pages 535-552, June.
    10. Alexander Schätz, 2010. "Macroeconomic Effects on Emerging Market Sector Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(2), pages 131-169, August.
    11. S. Gurcan Gulen, 1996. "Is OPEC a Cartel? Evidence from Cointegration and Causality Tests," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 43-57.
    12. P. Srinivasan & Inder Siddanth Ravindra, 2015. "Causality among Energy Consumption, CO2 Emission, Economic Growth and Trade," Foreign Trade Review, , vol. 50(3), pages 168-189, August.
    13. Bibhuti Sarker & Farid Khan, 2020. "Nexus between foreign direct investment and economic growth in Bangladesh: an augmented autoregressive distributed lag bounds testing approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
    14. Subrata ROY, 2020. "Foreign trade policy and economic growth: Indian evidence," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(624), A), pages 107-126, Autumn.
    15. Nafeesa Yunus & Peggy Swanson, 2007. "Modelling Linkages between US and Asia‐Pacific Securitized Property Markets," Journal of Property Research, Taylor & Francis Journals, vol. 24(2), pages 95-122.
    16. Dimitrios Paparas & Christian Richter & Ioannis Kostakis, 2019. "The validity of Wagner’s Law in the United Kingdom during the Last Two Centuries," International Economics and Economic Policy, Springer, vol. 16(2), pages 269-291, April.
    17. Julia Campos & Neil R. Ericsson & David F. Hendry, 2005. "General-to-specific modeling: an overview and selected bibliography," International Finance Discussion Papers 838, Board of Governors of the Federal Reserve System (U.S.).
    18. Francisco Rebelo & Ester Gomes da Silva, 2013. "Export variety, technological content and economic performance: The case of Portugal," Papers in Evolutionary Economic Geography (PEEG) 1310, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2013.
    19. Ali, Wajid & Munir, Kashif, 2016. "Testing Wagner versus Keynesian Hypothesis for Pakistan: The Role of Aggregate and Disaggregate Expenditure," MPRA Paper 74570, University Library of Munich, Germany.
    20. Panagiotis PEGKAS & Constantinos TSAMADIAS, 2015. "Does Formal Education At All Levels Cause Economic Growth? Evidence From Greece," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 15, pages 9-32, June.

    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

    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:rej:journl:v:13:y:2010:i:38:p:67-89. 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: Radu Lupu (email available below). General contact details of provider: https://edirc.repec.org/data/frasero.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.