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SSRN Electronic Journal
Article . 2011 . Peer-reviewed
Data sources: Crossref
EconStor
Article . 2012
Data sources: EconStor
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The Causality between Government Revenue and Government Expenditure in Iran

Authors: Yousef Elyasi; Mohammad Rahimi;

The Causality between Government Revenue and Government Expenditure in Iran

Abstract

The causal relationship between government revenue and government expenditure is an important subject in public economics especially to the control of budget deficit. The purpose of this study is to investigate the relationship between government revenue and government expenditure in Iran by applying the bounds testing approach to cointegration. The results of the causality test show that there is a bidirectional causal relationship between government expenditure and revenues in both long run and short run. Therefore, the results of this paper are consistent with fiscal synchronization hypothesis. The policy implication of results suggests that because of existing interdependence relation between government expenditure and revenue, the government makes its expenditures and revenues decision simultaneously. Under this hypothesis, the fiscal authorities of Iran should try to increase revenues and decrease expenditure simultaneously to control the budget deficits.

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Keywords

ddc:330, Iran, Government revenue/expenditure, Bounds testing approach, Granger Causality, ARDL, ARDL, Kointegration, Öffentliche Einnahmen, government revenue/expenditure, bounds testing approach, Granger causality, Kausalanalyse, H10, C22, H50, Öffentliche Ausgaben, jel: jel:C22, jel: jel:H50, jel: jel:H10

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    popularity
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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!
3
Average
Average
Average
bronze