Does Education Expenditure Promote Economic Growth in Saudi Arabia? An Econometric Analysis
Mohammed Ageli ()
MPRA Paper from University Library of Munich, Germany
Abstract:
This paper investigates the Keynesian Relations and Education Expenditure in Saudi Arabia during the period (1970-2012) for real Oil GDP and Non Oil GDP. Keynesian Relations investigated that fundamental economic growth is validity to the education growth. In the previous tudies have been tested the three versions of Keynesian Relations to support the existence of long-run relationship between education expenditure and economic growth. We used a method as a time series econometrics techniques to examine how far Keynesian Relations validity can be applied in Saudi economy. The results obtained from the analyses find that the Keynesian proposition can explain the growth of education in Saudi Arabia, which holds for both the Oil and Non Oil income cases. The findings also note that the existence of strong causality for all of Keynesian Relations versions in the long run.
Keywords: Keynesian Relations; Ordinary Least Square (OLS); Co integration; Granger Causality; Error Correction Model (ECM); Augmented Dickey Fuller (ADF); Education Expenditure; Economic Growth; Saudi Arabia (search for similar items in EconPapers)
JEL-codes: C22 E62 H52 I21 (search for similar items in EconPapers)
Date: 2013-04-06
New Economics Papers: this item is included in nep-ara, nep-edu, nep-fdg and nep-pbe
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Published in International Journal of Social Science Research 1.1(2013): pp. 1-10
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/46673/1/MPRA_paper_46673.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:46673
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().