Macroeconomic implications of uncertainty in South Africa
Aim:This article explores the extent to which economic policy uncertainty (EPU) influences selected macroeconomic variables in South Africa (SA). Methods: To this end, I construct a constant parameter vector autoregressive (VAR) model and a time-varying parameter (TVP) VAR model, where the latter mo...
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Format: | Article |
Language: | English |
Published: |
AOSIS
2020-02-01
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Series: | South African Journal of Economic and Management Sciences |
Subjects: | |
Online Access: | https://sajems.org/index.php/sajems/article/view/3350 |
Summary: | Aim:This article explores the extent to which economic policy uncertainty (EPU) influences selected macroeconomic variables in South Africa (SA).
Methods: To this end, I construct a constant parameter vector autoregressive (VAR) model and a time-varying parameter (TVP) VAR model, where the latter model evaluates if the impact of uncertainty on the macroeconomic variables has changed over time.
Setting: The models are estimated using quarterly South African data over the period 1990 to 2015, which include industrial production growth, consumer price inflation, 10-year government bond yield, real effective exchange rate, and economic policy uncertainty. Cholesky ordering of the variables are imposed to recover the orthogonal shocks.
Results: The results of the constant parameter VAR model suggest that an unanticipated positive shock to the uncertainty index results in a decline in industrial production and real effective exchange rate, while fostering an increase in the general price level and 10-year government bond yield. Time-varying impulse responses show that the impact of uncertainty shocks on the selected macroeconomic variables has declined systematically over time. This is perhaps intuitive as the new unanticipated information is gradually picked up by media over time and incorporated into rational agents’ decision-making.
Conclusion: The transmission of a positive uncertainty shock to the real economy has time-varying implications. |
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ISSN: | 1015-8812 2222-3436 |