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Investigating the Asymmetric Effects of Government Spending on Economic Growth

Author Affiliations

  • 1 Department of Economics, University of Qom, IRAN
  • 2 Department of Management, Payame Noor University, Ghaemshahr, IRAN

Res. J. Recent Sci., Volume 1, Issue (5), Pages 51-58, May,2 (2012)

Abstract

In the asymmetric effects of government spending literature, only a few studies have analyzed the relationships among the components of asymmetric effects of government spending. This study provides further insight into the role of asymmetric effects of government spending in economic growth performance. in this order, auto regressive distributed lag (ardl) method has been used for measuring the asymmetric effects of government spending performance of the economic growth. This study uses annual time series data (1979-2006) and unit root test and analyze them using auto regressive distributed lag (ardl) model by pesaran et al. (2001). Findings from the empirical analysis indicate that the relationships between the performance of asymmetric effects of government spending and economic growth are informative.

References

  1. Reinhart Carmen M., Kenneth S., Rogoff and Miguel A. Savastano., Debt Intolerance, Brookings Papers on Economic Activity: one, Brookings Institution, 1–74 (2003)
  2. Ball L., Douglas W., Elmendorf and Gregory M., The Deficit Gamble, Journal of Money, Credit and Banking, 30 699–720 (1998)
  3. Garcia R. and Perron P., An Analysis of the Real Interest Rate under Regime Shifts, Review of Economics and Statistics, 78 111–125 (1996)
  4. Canzoneri M.B. and Harris D., Real Interest Rates and Central Bank Operating Procedures, Journal of Monetary Economics, 42 471–494 (1998)
  5. Pesaran H.M., Shin Y. and Smith J.R., Bounds testing approaches to the analysis of relationships, Journal of Applied Econometrics, 16(3) 289–326 (2001)
  6. Johansen S., Statistical Analysis of Cointegration Vectors, Journal of Economic Dynamics and Control 12 231-254 (1988)
  7. Johansen S. and Juselius K., Maximum Likelihood Estimation and Inference on Cointegration with Applications to the Demand for Money, Oxford Bulletin of Economics and Statistics 52 169-210 (1990)
  8. Pesaran M.H. and Shin Y., Long-Run Structural Modeling, unpublished manuscript, University of Cambridge, (1995)
  9. Engle R.F. and Granger W.J., Co-integration and error-correction: Representation, estimation and testing, Econometrica, 55(2) 251-276 (1987)
  10. Perron P., Further evidence on breaking trend functions in macroeconomic variables. J. Econometrics, 80 355-385 (1997)
  11. Perron P., The great crash, the oil price shock and the unit root hypothesis. Econometrica, 57 1361-1401 (1989)
  12. Brown R.l., Durbin J. and Evans J.M., Techniques for Testing the Constancy of Regression Relations over Time, Journal of the Royal Statistical Society, 37(2) 149-192 (1975)
  13. Bahmani-Oskooee M., How stable is M2 money demand function in Japan? Japan and World Economy, 13(4) 455-461 (2001)
  14. Mangang P.N., Health Beliefs and Perception of Well-being among the Lois of Thanga in Manipur, India, Research Journal of Recent Sciences, 1(4) 46-52 (2012)
  15. Nwajei G.E., Okwagi P., Nwajei R.I. and Obi-Iyeke G.E., Analytical Assessment of Trace Elements in Soils, Tomato Leaves and Fruits in the Vicinity of Paint Industry, Nigeria, Research Journal of Recent Sciences, 1(4) 22-26 (2012)
  16. Amanchi N.R. and Mohd M.H., Ecophysiological and cytopathological impact of delfin insecticide (Bacillus thuringiensis) to a unicellular ciliate protozoan, Euplotes patella, Research Journal of Recent Sciences, 1(4) 64-67 (2012)