Arbeitspapier
Nonlinear relationship between exchange rate volatility and economic growth
In this paper, we challenge the traditional assumption of a linear relationship between exchange rate volatility and economic growth in South Africa. By using data collected from 1970 to 2016 applied to a smooth transition regression (STR) model, we are able to prove that the exchange rate-economic growth correlation is indeed nonlinear within the sampled time period. In particular, we find that regime switching behaviour is facilitated by government size in which exchange rate volatility positively and significantly influences economic growth when growth in government spending is below 6 percent. Above this 6 percent threshold, volatility exerts an insignificant effect on economic growth. In light of the adoption of a free floating exchange rate regime by the Reserve Bank, our results emphasize the importance of the role which fiscal authorities play on the extent to which exchange rate movements affect economic growth.
- Language
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Englisch
- Bibliographic citation
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Series: EERI Research Paper Series ; No. 08/2018
- Classification
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Wirtschaft
Econometrics
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Model Evaluation, Validation, and Selection
Monetary Policy
Foreign Exchange
Economic Growth and Aggregate Productivity: General
- Subject
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Exchange rates
economic growth
smooth transition regression (STR) model
thresholds
nonlinearity
volatility
South Africa
monetary policy
fiscal policy
- Event
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Geistige Schöpfung
- (who)
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Phiri, Andrew
- Event
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Veröffentlichung
- (who)
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Economics and Econometrics Research Institute (EERI)
- (where)
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Brussels
- (when)
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2018
- Handle
- Last update
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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
- Arbeitspapier
Associated
- Phiri, Andrew
- Economics and Econometrics Research Institute (EERI)
Time of origin
- 2018