Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

An Application of a Johansen Cointegration Test and a Vector Error Correction, (VEC) Model to Test the Granger Causality between General Government Revenues and General Government Total Expenditures in Greece

Authors: Michel Guirguis;

An Application of a Johansen Cointegration Test and a Vector Error Correction, (VEC) Model to Test the Granger Causality between General Government Revenues and General Government Total Expenditures in Greece

Abstract

In this article, we are investigating the effects of macroeconomic variables in terms of natural logarithmic yearly returns of general government revenues and general government total expenditures of Greece. We have applied a Vector Error Correction model, (VEC) a Granger causality and Johansen cointegration test to check for long – term relationship between general government revenues and general government total expenditures. By using a (VEC), model we have found that 62% of the disequilibrium or error term or speed of adjustment towards long-run equilibrium is corrected each year by changes in general government revenues. Error term accounted as 56% of the disequilibrium or speed of adjustment towards long – run equilibrium is corrected each year by changes in general total government expenditures. The speed of adjustment is not too fast for both variables. Moreover, we have found statistically significant long – run relationship between the general government revenues and general government total expenditures by using Johansen cointegration test. Finally, at the 5% significance level, we have found significant causality that the natural logarithmic yearly returns of the general government expenditures is a Granger causality of the natural logarithmic yearly returns of the general government total revenues and not vice versa. The data that we have used are natural logarithmic yearly returns starting from 01/01/1980 to 01/01/2018, which total to 39 observations. The data was obtained from the Statistical Department of the International Monetary Fund.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!