Artikel
On the relation between government expenditure and revenue in South Africa: An empirical investigation in a nonlinear framework
The study explores the nonlinear linkage between government expenditure and government revenue using quarterly data from the first quarter of 1965 to the second quarter of 2019. Linear models are first deployed to determine the order of integration of the variables, cointegration, granger causality and variance decomposition within the SVAR model. Nonlinear techniques are employed to spot the asymmetric relation of the univariate and the expenditure and revenue linkage. Asymmetric adjustments are carried out to unknot the dynamic mechanism based on the threshold vector autoregressive model (TVAR) and threshold vector error-correction model (TVECM). Finally, the Markov Switching model is employed to determine the tendency of the variables to remain in a particular region and their transition probabilities. The empirical findings suggest the presence of nonlinear but one-way causal relation between government expenditure and revenue. The results show that adjustment mechanism of government expenditure towards the equilibrium is more persistent than government revenue when the threshold level is attained.
- Language
-
Englisch
- Bibliographic citation
-
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 8 ; Year: 2020 ; Issue: 1 ; Pages: 1-21
- Classification
-
Wirtschaft
Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook: General
Fiscal Policy
Commodity Markets
- Subject
-
expenditure
nonlinearity
revenue
- Event
-
Geistige Schöpfung
- (who)
-
Sanusi, Kazeem Abimbola
- Event
-
Veröffentlichung
- (who)
-
Taylor & Francis
- (where)
-
Abingdon
- (when)
-
2020
- DOI
-
doi:10.1080/23322039.2020.1803523
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Sanusi, Kazeem Abimbola
- Taylor & Francis
Time of origin
- 2020